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141
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NECO
2007
127views more  NECO 2007»
15 years 2 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
140
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PVLDB
2008
138views more  PVLDB 2008»
15 years 2 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
141
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DIS
2010
Springer
15 years 2 months ago
Discovery of Conservation Laws via Matrix Search
Abstract. One of the main goals of Discovery Science is the development and analysis of methods for automatic knowledge discovery in the natural sciences. A central area of natural...
Oliver Schulte, Mark S. Drew
138
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FSS
2010
147views more  FSS 2010»
15 years 2 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
145
Voted
JOLLI
2010
142views more  JOLLI 2010»
15 years 1 months ago
Towards a Type-Theoretical Account of Lexical Semantics
After a quick overview of the field of study known as “Lexical Semantics”, where we advocate the need of accessing additional information besides syntax and Montaguestyle sema...
Christian Bassac, Bruno Mery, Christian Retor&eacu...
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