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	<title>Steve Omohundro, Ph.D.</title>
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	<link>http://steveomohundro.com</link>
	<description>Discovering the Big Patterns</description>
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		<title>Steve Omohundro, Ph.D.</title>
		<link>http://steveomohundro.com</link>
	</image>
			<item>
		<title>Hidden Markov Model Induction by Bayesian Model Merging</title>
		<link>http://steveomohundro.com/2009/03/29/hidden-markov-model-induction-by-bayesian-model-merging/</link>
		<comments>http://steveomohundro.com/2009/03/29/hidden-markov-model-induction-by-bayesian-model-merging/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 22:14:29 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=490</guid>
		<description><![CDATA[Andreas Stolcke and Stephen M. Omohundro, “Hidden Markov Model Induction by Bayesian Model Merging”, in Advances in Neural Information Processing Systems 5, ed. Steve J. Hanson and Jack D. Cowan, J. D. and C. Lee Giles, Morgan Kaufmann Publishers, Inc., San Mateo, California, 1993, pp. 11-18.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/stolcke_omohundro93_hmm_induction_bayesian_model_merging.pdf
This paper describes a technique for learning both the [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=490&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/hidden-markov-model-induction-by-bayesian-model-merging/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
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			<media:title type="html">Steve</media:title>
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	</item>
		<item>
		<title>Family Discovery Slides</title>
		<link>http://steveomohundro.com/2009/03/29/family-discovery-slides/</link>
		<comments>http://steveomohundro.com/2009/03/29/family-discovery-slides/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 21:36:00 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=485</guid>
		<description><![CDATA[Slides from talks given by Steve Omohundro on the &#8220;Family Discovery&#8221; learning algorithm developed at the NEC Research Institute, Inc., Princeton, NJ, 1995.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/omohundro95_family_discovery_slides.pdf
The standard learning paradigm, family discovery, parameterized families, episodes, estimation of dimension and structure of parameterizations, multi-speaker speech recognition, accent learning, omni-font character recognition, font recognition, separate models, single non-parameterized model, family [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=485&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/family-discovery-slides/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
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	</item>
		<item>
		<title>Nonlinear Manifold Learning for Visual Speech Recognition Slides</title>
		<link>http://steveomohundro.com/2009/03/29/nonlinear-manifold-learning-for-visual-speech-recognition-slides/</link>
		<comments>http://steveomohundro.com/2009/03/29/nonlinear-manifold-learning-for-visual-speech-recognition-slides/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 21:29:55 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=483</guid>
		<description><![CDATA[Slides from talks given by Chris Bregler and Steve Omohundro on &#8220;Nonlinear Manifold Learning for Visual Speech Recognition&#8221;.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/bregler_omohundro96_nonlinear_manifold_learning_speech_recognition.pdf
Manifold learning, lip tracking, image interpolation, feature extraction, speech recognition, &#8220;Contour-surfing&#8221;, &#8220;eigenlips&#8221;, visual speech, hybrid speech recognition, active contour models, snake model, mixture of local adaptive patches, local PCA, cluster feature space, model merging, comparison to nearest [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=483&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/nonlinear-manifold-learning-for-visual-speech-recognition-slides/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Family Discovery</title>
		<link>http://steveomohundro.com/2009/03/29/family-discovery/</link>
		<comments>http://steveomohundro.com/2009/03/29/family-discovery/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 21:22:53 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=481</guid>
		<description><![CDATA[Stephen M. Omohundro, “Family Discovery”, in Advances in Neural Information Processing Systems 8, eds. D. S. Touretzky, M. C. Mozer and M. E. Hasselmo, MIT Press, Cambridge, MA, 1996.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/omohundro96_family_discovery.pdf
Many learning situations involve multiple sets of training examples drawn from different but related underlying models. &#8220;Family discovery&#8221; is the task of discovering a parameterized family [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=481&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/family-discovery/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Patent of Multimedia Database Retrieval System</title>
		<link>http://steveomohundro.com/2009/03/29/patent-of-multimedia-database-retrieval-system/</link>
		<comments>http://steveomohundro.com/2009/03/29/patent-of-multimedia-database-retrieval-system/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 21:20:28 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=479</guid>
		<description><![CDATA[U.S. Patent 5,696,964, “Multimedia Database Retrieval System Which Maintains a Posterior Probability Distribution That Each Item in the Database is a Target of a Search”, Ingemar J. Cox, Matthew L. Miller, Stephen M. Omohundro, and P. N. Yianilos, granted December 9, 1997, assigned to NEC Research Institute, Inc.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/cox_omohundro97_patent_multimedia_database_retrieval.pdf
A queryless, multimedia database search method incorpo­rating [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=479&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/patent-of-multimedia-database-retrieval-system/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Learning Visual Models for Lip Reading</title>
		<link>http://steveomohundro.com/2009/03/29/learning-visual-models-for-lip-reading/</link>
		<comments>http://steveomohundro.com/2009/03/29/learning-visual-models-for-lip-reading/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 21:17:18 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=477</guid>
		<description><![CDATA[Christoph Bregler and Stephen M. Omohundro, “Learning Visual Motion Models for Lip Reading” in Motion-Based Recognition, eds. M. Sha and R. Jain, Kluwer Academic Press, 1997.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/bregler_omohundro95_learning_visual_models_lip_reading.pdf
This chapter describes learning techniques that are the basis of a &#8220;visual speech recognition&#8221; or &#8220;lipreading&#8221; system. Model-based vision systems currently have the best performance for many visual recognition [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=477&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/learning-visual-models-for-lip-reading/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Nonlinear Manifold Learning for Visual Speech Recognition</title>
		<link>http://steveomohundro.com/2009/03/29/nonlinear-manifold-learning-for-visual-speech-recognition/</link>
		<comments>http://steveomohundro.com/2009/03/29/nonlinear-manifold-learning-for-visual-speech-recognition/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 21:12:24 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=475</guid>
		<description><![CDATA[Christoph Bregler and Stephen M. Omohundro, “Nonlinear Manifold Learning for Visual Speech Recognition”, in the Proceedings of the Fifth International Conference on Computer Vision, ed. W. Eric L. Grimson, IEEE Computer Society Press, Los Alamitos, CA, June 1995, pp. 494-499.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/bregler_omohundro95_manifold_learning_visual_speech_recognition.pdf
A technique for representing and learning smooth nonlinear manifolds is presented and applied to sev­eral [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=475&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/nonlinear-manifold-learning-for-visual-speech-recognition/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>A Hybrid Approach to Bimodal Speech Recognition</title>
		<link>http://steveomohundro.com/2009/03/29/a-hybrid-approach-to-bimodal-speech-recognition/</link>
		<comments>http://steveomohundro.com/2009/03/29/a-hybrid-approach-to-bimodal-speech-recognition/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 21:09:11 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=473</guid>
		<description><![CDATA[Chris Bregler, Stephen M. Omohundro, and Yochai Konig, “A Hybrid Approach to Bimodal Speech Recognition”, Proceedings of the 28th Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 1994.

Pdf file:
http://omohundro.files.wordpress.com/2009/03/bregler_omohundro95_surface_learning_speech_recognition_lipreading.pdf
We explore multimodal recognition by combining visual lipreading with acoustic speech recognition. We show that combining the visual and acoustic clues of speech [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=473&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/a-hybrid-approach-to-bimodal-speech-recognition/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Probabilistic Models of Verbal and Body Gestures</title>
		<link>http://steveomohundro.com/2009/03/29/probabilistic-models-of-verbal-and-body-gestures/</link>
		<comments>http://steveomohundro.com/2009/03/29/probabilistic-models-of-verbal-and-body-gestures/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 20:55:03 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=471</guid>
		<description><![CDATA[Christoph Bregler, Stephen Omohundro, Michelle Covell, Malcolm Slaney, Subutai Ahmad, David Forsyth, Jerry Feldman, “Probabilistic Models of Verbal and Body Gestures” in Computer Vision in Man-Machine Interfaces, eds. R. Cipolla and A. Pentland, Cambridge University Press, 1998.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/bregler_omohundro98_probabilistic_models_verbal_body_gestures.pdf
This chapter describes several probabilistic techniques for representing, recognizing, and generating spatiotemporal configuration sequences. We first describe how [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=471&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/probabilistic-models-of-verbal-and-body-gestures/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>RCL: A C++ Library and Programming Discipline for Research</title>
		<link>http://steveomohundro.com/2009/03/29/rcl-a-c-library-and-programming-discipline-for-research/</link>
		<comments>http://steveomohundro.com/2009/03/29/rcl-a-c-library-and-programming-discipline-for-research/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 20:51:55 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=467</guid>
		<description><![CDATA[Stephen M. Omohundro and A. Peter Blicher, “RCL: A C++ Library and Programming Discipline for Research”, Technical Report 97-079, NEC Research Institute, Princeton, NJ, 1997.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/omohundro_blicher97_rcl_cplusplus_library_for_research.pdf
This report describes the design of a C++ library and programming discipline for research projects that aims to be efficient, flexible, simple, and safe. It includes classes for fundamental data [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=467&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/rcl-a-c-library-and-programming-discipline-for-research/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Model Merging for Hidden Markov Model Induction</title>
		<link>http://steveomohundro.com/2009/03/29/model-merging-for-hidden-markov-model-induction/</link>
		<comments>http://steveomohundro.com/2009/03/29/model-merging-for-hidden-markov-model-induction/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 20:45:41 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=463</guid>
		<description><![CDATA[Andreas Stolcke and Stephen M. Omohundro, “Model Merging for Hidden Markov Model Induction”, NEC Research Institute, Inc. Technical Report, 1996.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/stolcke_omohundro96_model_merging_hmm_induction.pdf
We describe a new technique for inducing the structure of Hidden Markov Models from data using a model merging algorithm. The process begins with a maximum likelihood HMM that directly encodes the training data. Successively [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=463&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/model-merging-for-hidden-markov-model-induction/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Target Testing and the PicHunter Bayesian Multimedia Retrieval System</title>
		<link>http://steveomohundro.com/2009/03/29/target-testing-and-the-pichunter-bayesian-multimedia-retrieval-system/</link>
		<comments>http://steveomohundro.com/2009/03/29/target-testing-and-the-pichunter-bayesian-multimedia-retrieval-system/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 20:34:52 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=461</guid>
		<description><![CDATA[I. J. Cox, M. L. Miller, S. M. Omohundro, and P. N. Yianilos, “Target Testing and the PicHunter Bayesian Multimedia Retrieval System”, in the Proceedings of the 3rd Forum on Research and Technology Advances in Digital Libraries, DL’96, 1996, pp. 66-75.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/cox_omohundro96_target_testing_pichunter_retrieval.pdf
This paper addresses how the effectiveness of a content­-based, multimedia information retrieval system can [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=461&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/target-testing-and-the-pichunter-bayesian-multimedia-retrieval-system/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Toward Optimal Search of Image Databases</title>
		<link>http://steveomohundro.com/2009/03/29/toward-optimal-search-of-image-databases/</link>
		<comments>http://steveomohundro.com/2009/03/29/toward-optimal-search-of-image-databases/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 20:28:45 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=458</guid>
		<description><![CDATA[T. P. Minka, M. L. Miller, I. J. Cox, P. N. Yianilos, S. M. Omohundro, &#8220;Toward Optimal Search of Image Databases&#8221;, in Proceedings of the International Conference on Computer Vision and Pattern Recognition, 1998.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/minka_omohundro97_toward_optimal_image_search.pdf
A new algorithm and systematic evaluation is presented for searching a database via relevance feedback. The algorithm takes feedback in the [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=458&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/toward-optimal-search-of-image-databases/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>PicHunter Bayesian Relevance Feeback for Image Retrieval</title>
		<link>http://steveomohundro.com/2009/03/29/pichunter-bayesian-relevance-feeback-for-image-retrieval/</link>
		<comments>http://steveomohundro.com/2009/03/29/pichunter-bayesian-relevance-feeback-for-image-retrieval/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 20:17:48 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=455</guid>
		<description><![CDATA[Ingemar J. Cox, Matt L. Miller, Stephen M. Omohundro, and Peter N. Yianilos, “PicHunter: Bayesian Relevance Feedback for Image Retrieval”, in the Proceedings of the 13th International Conference on Pattern Recognition, 1996, pp. 361-369.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/cox_omohundro96_pichunter_bayesian_relevance_feedback.pdf
This paper describes PicHunter, an image retrieval sys­tem that implements a novel approach to relevance feedback. It uses Bayesian learning based [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=455&subd=omohundro&ref=&feed=1" />]]></description>
		<wfw:commentRss>http://steveomohundro.com/2009/03/29/pichunter-bayesian-relevance-feeback-for-image-retrieval/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
	
		<media:content url="" medium="image">
			<media:title type="html">Steve</media:title>
		</media:content>
	</item>
		<item>
		<title>Sather&#8217;s Design</title>
		<link>http://steveomohundro.com/2009/03/29/sathers-design/</link>
		<comments>http://steveomohundro.com/2009/03/29/sathers-design/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 09:00:54 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=437</guid>
		<description><![CDATA[Stephen M. Omohundro, “Sather’s Design”, Eiffel Outlook, 1:3, (June 1991).
Pdf file:
http://omohundro.files.wordpress.com/2009/03/omohundro91_sathers_design.pdf
The design of a language is necessarily a balancing act between conflicting goals and priorities that will result in different designs. The Sather design has undergone many changes and the final decisions were not made lightly. I will try to explain some of the reasons [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=437&subd=omohundro&ref=&feed=1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<title>Sather Talks</title>
		<link>http://steveomohundro.com/2009/03/29/sather-talks/</link>
		<comments>http://steveomohundro.com/2009/03/29/sather-talks/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 08:35:46 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=433</guid>
		<description><![CDATA[Steve Omohundro gave many talks promoting and describing Sather to audiences all over the world. Here are two representative sets of slides, one from the 0.2 Sather era and one from the 1.0 Sather era. Various language decisions and interesting issues in the design of the libraries are discussed.
http://omohundro.files.wordpress.com/2009/03/omohundro91_sather_02_talk.pdf
http://omohundro.files.wordpress.com/2009/03/omohundro94_sather_10_talk.pdf
       [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=433&subd=omohundro&ref=&feed=1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<title>The Differences Between Sather and Eiffel</title>
		<link>http://steveomohundro.com/2009/03/29/the-differences-between-sather-and-eiffel/</link>
		<comments>http://steveomohundro.com/2009/03/29/the-differences-between-sather-and-eiffel/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 08:32:24 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=430</guid>
		<description><![CDATA[Stephen M. Omohundro, “The Differences Between Sather and Eiffel”, Eiffel Outlook, 1:1, (April 1991).
Pdf file:
http://omohundro.files.wordpress.com/2009/03/omohundro91_sather_eiffel.pdf
Sather is a new object-oriented language derived from Eiffel. Many design decisions must be made in the design of a language and different priorities give rise to different decisions. Every language is a compromised response to a large number of conflicting [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=430&subd=omohundro&ref=&feed=1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<title>The Type and Class System of Sather</title>
		<link>http://steveomohundro.com/2009/03/29/the-type-and-class-system-of-sather/</link>
		<comments>http://steveomohundro.com/2009/03/29/the-type-and-class-system-of-sather/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 08:28:11 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=428</guid>
		<description><![CDATA[Clemens Szyperski, Stephen M. Omohundro, and Stephan Murer, “Engineering a Programming Language: The Type and Class System of Sather”, in Jurg Gutknecht, ed. Programming Languages and System Architectures, Lecture Notes in Computer Science Volume 782, Springer-Verlag, Berlin (1994) pp. 208-227.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/szyperski_omohundro94_engineering_sather.pdf
Sather 1.0 is a programming language whose design has re­sulted from the interplay of many [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=428&subd=omohundro&ref=&feed=1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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			<media:title type="html">Steve</media:title>
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		<title>Iteration Abstraction in Sather</title>
		<link>http://steveomohundro.com/2009/03/29/iteration-abstraction-in-sather/</link>
		<comments>http://steveomohundro.com/2009/03/29/iteration-abstraction-in-sather/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 08:24:49 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=426</guid>
		<description><![CDATA[Stephan Murer, Stephen M. Omohundro, David Stoutamire, and Clemens Szyperski, “Iteration Abstraction in Sather”, Transactions on Programming Languages and Systems, Volume 18, Number 1, January 1996, pp. 1-15.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/murer_omohundro95_iteration_abstraction_in_sather.pdf
Sather extends the notion of an iterator in a powerful new way. We argue that iteration ab­stractions belong in class interfaces on an equal footing with routines. [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=426&subd=omohundro&ref=&feed=1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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		<title>Sather 1.1</title>
		<link>http://steveomohundro.com/2009/03/29/sather-11/</link>
		<comments>http://steveomohundro.com/2009/03/29/sather-11/#comments</comments>
		<pubDate>Sun, 29 Mar 2009 08:21:50 +0000</pubDate>
		<dc:creator>omohundro</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://steveomohundro.com/?p=424</guid>
		<description><![CDATA[David Stoutamire and Stephen M. Omohundro, &#8220;The Sather 1.1 Specification&#8221;, International Computer Science Institute Technical Report TR-95-057, October 1995.
Pdf file:
http://omohundro.files.wordpress.com/2009/03/stoutamire_omohundro95_sather_11.pdf
Sather is an object oriented language designed to be simple, efficient, safe, and non-propri­etary. It aims to meet the needs of modern research groups and to foster the development of a large, freely available, high-quality library [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=steveomohundro.com&blog=1631836&post=424&subd=omohundro&ref=&feed=1" />]]></description>
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		<slash:comments>0</slash:comments>
	
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