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» A New Discriminative Kernel From Probabilistic Models
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SIGIR
2010
ACM
15 years 1 months ago
Extending average precision to graded relevance judgments
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...
ICPR
2006
IEEE
15 years 11 months ago
Ancient Initial Letters Indexing
Discrimination of images is necessary in many tasks, either understanding or indexing for example. Here we are concerned by indexing. More precisely we are working about initial l...
Nicole Vincent, Rudolf Pareti
AIPS
2008
15 years 3 days ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
CSL
2010
Springer
14 years 8 months ago
Voice activity detection based on statistical models and machine learning approaches
The voice activity detectors (VADs) based on statistical models have shown impressive performances especially when fairly precise statistical models are employed. Moreover, the ac...
Jong Won Shin, Joon-Hyuk Chang, Nam Soo Kim
TMM
2011
177views more  TMM 2011»
14 years 4 months ago
MIMiC: Multimodal Interactive Motion Controller
Abstract—We introduce a new algorithm for real-time interactive motion control and demonstrate its application to motion captured data, pre-recorded videos and HCI. Firstly, a da...
Dumebi Okwechime, Eng-Jon Ong, Richard Bowden