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» Discovering Classification from Data of Multiple Sources
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ICCV
2011
IEEE
14 years 6 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
SUTC
2008
IEEE
16 years 23 days ago
Effective Feature Space Reduction with Imbalanced Data for Semantic Concept Detection
Semantic understanding of multimedia content has become a very popular research topic in recent years. Semantic concept detection algorithms face many challenges such as the seman...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
CODES
2010
IEEE
15 years 3 months ago
Automatic memory partitioning: increasing memory parallelism via data structure partitioning
In high-level synthesis, pipelined designs are often restricted by the number of memory banks available to the synthesis system. Using multiple memory banks can improve the perfor...
Yosi Ben-Asher, Nadav Rotem
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 11 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how di...
Xiao Zhang, Prasenjit Mitra
IJCAI
2003
15 years 7 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh