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» Feature Weighting for Segmentation
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131
Voted
FGR
2008
IEEE
151views Biometrics» more  FGR 2008»
15 years 9 months ago
Motion image segmentation using global criteria and DP
We propose methods for segmenting a motion sequence into motion primitives, taking into account temporal constraints (continuity along the time axis). In the proposed methods, dyn...
Takumi Kobayashi, Fumito Yoshikawa, Nobuyuki Otsu
156
Voted
ICASSP
2007
IEEE
15 years 2 months ago
Multiscale Color-Texture Image Segmentation with Adaptive Region Merging
Anovelmultiscaleimagesegmentationalgorithmispresented, which is based on the dominant color and homogeneous texture features (HTF) that are adopted in the MPEG-7 standard. These f...
Tao Wan, Nishan Canagarajah, Alin Achim
128
Voted
INTERSPEECH
2010
14 years 9 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
119
Voted
NIPS
1994
15 years 4 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi
255
Voted
ICDAR
2011
IEEE
14 years 2 months ago
Offline Writer Identification Using K-Adjacent Segments
— This paper presents a method for performing offline writer identification by using K-adjacent segment (KAS) features in a bag-of-features framework to model a user’s handwrit...
Rajiv Jain, David S. Doermann