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WACV
2005
IEEE
14 years 8 days ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
ECMDAFA
2010
Springer
141views Hardware» more  ECMDAFA 2010»
13 years 10 months ago
Comparing Approaches to Implement Feature Model Composition
Abstract. The use of Feature Models (FMs) to define the valid combinations of features in Software Product Lines (SPL) is becoming commonplace. To enhance the scalability of FMs, ...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...
INTERSPEECH
2010
13 years 1 months ago
Enhancements of viterbi search for fast unit selection synthesis
The paper describes the optimisation of Viterbi search used in unit selection TTS, since with a large speech corpus necessary to achieve a high level of naturalness, the performan...
Daniel Tihelka, Jirí Kala, Jindrich Matouse...
ICASSP
2009
IEEE
14 years 1 months ago
Speaker recognition using syllable-based constraints for cepstral frame selection
We describe a new GMM-UBM speaker recognition system that uses standard cepstral features, but selects different frames of speech for different subsystems. Subsystems, or “const...
Tobias Bocklet, Elizabeth Shriberg
IROS
2006
IEEE
205views Robotics» more  IROS 2006»
14 years 22 days ago
Good Image Features for Bearing-only SLAM
Abstract— In this paper, we propose an algorithm for extracting and selecting SIFT (scale-invariant feature transform) visual features for bearing-only SLAM in indoor environment...
Xiang Wang, Hong Zhang