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» Discriminative training for full covariance models
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BMCBI
2011
13 years 2 months ago
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and proposi
Background: Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequenc...
Juliana S. Bernardes, Alessandra Carbone, Gerson Z...
ECCV
2010
Springer
13 years 4 months ago
Modeling the Temporal Extent of Actions
In this paper, we present a framework for estimating what portions of videos are most discriminative for the task of action recognition. We explore the impact of the temporal cropp...
Scott Satkin, Martial Hebert
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
SIGIR
2008
ACM
13 years 7 months ago
Discriminative probabilistic models for passage based retrieval
The approach of using passage-level evidence for document retrieval has shown mixed results when it is applied to a variety of test beds with different characteristics. One main r...
Mengqiu Wang, Luo Si
ICASSP
2010
IEEE
13 years 7 months ago
Multi-style MLP features for BN transcription
It has become common practice to adapt acoustic models to specific-conditions (gender, accent, bandwidth) in order to improve the performance of speech-to-text (STT) transcriptio...
Viet-Bac Le, Lori Lamel, Jean-Luc Gauvain