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ICML
2009
IEEE
16 years 5 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
PERCOM
2005
ACM
16 years 4 months ago
State of the Art in Ultra-Low Power Public Key Cryptography for Wireless Sensor Networks
Security in wireless sensor networks is currently provided exclusively through symmetric key cryptography. In this paper we show that special purpose ultra-low power hardware impl...
Berk Sunar, Erdinç Öztürk, Gunnar...
141
Voted
ALT
2005
Springer
16 years 1 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
149
Voted
TAICPART
2006
IEEE
134views Education» more  TAICPART 2006»
15 years 11 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When compon...
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
ATS
2005
IEEE
100views Hardware» more  ATS 2005»
15 years 10 months ago
Finite State Machine Synthesis for At-Speed Oscillation Testability
In this paper, we propose an oscillation-based test methodology for sequential testing. This approach provides many advantages over traditional methods. (1) It is at-speed testing...
Katherine Shu-Min Li, Chung-Len Lee, Tagin Jiang, ...