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» Analysis of Grain's Initialization Algorithm
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TCS
2008
13 years 8 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
JAMIA
2011
98views more  JAMIA 2011»
12 years 11 months ago
Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network
Background Systematic study of clinical phenotypes is important for a better understanding of the genetic basis of human diseases and more effective gene-based disease management....
Jyotishman Pathak, Janey Wang, Sudha Kashyap, Meli...
WWW
2008
ACM
14 years 9 months ago
Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering...
Manjeet Rege, Ming Dong, Jing Hua
SAC
2005
ACM
14 years 2 months ago
Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the c...
Dario Bonino, Fulvio Corno, Federico Pescarmona
CIVR
2003
Springer
200views Image Analysis» more  CIVR 2003»
14 years 1 months ago
Multimedia Search with Pseudo-relevance Feedback
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evi...
Rong Yan, Alexander G. Hauptmann, Rong Jin