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» Word Importance Discrimination Using Context Information
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157
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CIARP
2007
Springer
15 years 7 months ago
An Analysis of Automatic Gender Classification
Different researches suggest that inner facial features are not the only discriminative features for tasks such as person identification or gender classification. Indeed, they have...
Modesto Castrillón Santana, Quoc C. Vuong
144
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ISSTA
2009
ACM
15 years 10 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
124
Voted
FQAS
2009
Springer
129views Database» more  FQAS 2009»
15 years 10 months ago
Representing Context Information for Document Retrieval
The bag of words representation (BoW), which is widely used in information retrieval (IR), represents documents and queries as word lists that do not express anything about context...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...
327
Voted
EMMCVPR
2011
Springer
14 years 3 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
117
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ICANN
2007
Springer
15 years 9 months ago
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
Abstract. Keyword spotting is a detection task consisting in discovering the presence of specific spoken words in unconstrained speech. The majority of keyword spotting systems ar...
Santiago Fernández, Alex Graves, Jürge...