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» A Spectral Algorithm for Learning Hidden Markov Models
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FOCI
2007
IEEE
14 years 2 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
14 years 8 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
ASAP
2007
IEEE
122views Hardware» more  ASAP 2007»
14 years 2 months ago
Parallelizing HMMER for Hardware Acceleration on FPGAs
Profile based Hidden Markov Model is a widely used tool in bioinformatics. While being very valuable to biologists, it is extremely compute intensive and suffers from prohibitive...
Steven Derrien, Patrice Quinton
INTERSPEECH
2010
13 years 2 months ago
Deep-structured hidden conditional random fields for phonetic recognition
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
Dong Yu, Li Deng
AR
2007
204views more  AR 2007»
13 years 7 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...