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TASLP
2011
14 years 12 months ago
Time-Frequency Cepstral Features and Heteroscedastic Linear Discriminant Analysis for Language Recognition
Abstract—The shifted delta cepstrum (SDC) is a widely used feature extraction for language recognition (LRE). With a high context width due to incorporation of multiple frames, S...
Weiqiang Zhang, Liang He, Yan Deng, Jia Liu, M. T....
174
Voted
JUCS
2010
162views more  JUCS 2010»
14 years 11 months ago
UML Behavior Models of Real-Time Embedded Software for Model-Driven Architecture
Abstract: Model-Driven Architecture (MDA) presents a set of layered models to separate design concerns from platform concerns. The model executability for each model element is sti...
Jin Hyun Kim, Jin-Young Choi, Inhye Kang, Insup Le...
PRL
2010
149views more  PRL 2010»
14 years 11 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
ICCV
2011
IEEE
14 years 5 months ago
The Power of Comparative Reasoning
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
Jay Yagnik, Dennis Strelow, David Ross, Ruei-sung ...
CVPR
2009
IEEE
17 years 5 days ago
Minimizing Sparse Higher Order Energy Functions of Discrete Variables
Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling pro...
Carsten Rother (Microsoft Research Cambridge), Pus...
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