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» Challenges in Evaluating Distributed Algorithms
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ICDAR
2003
IEEE
15 years 9 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
151
Voted
INFOCOM
2000
IEEE
15 years 8 months ago
Power Controlled Multiple Access (PCMA) in Wireless Communication Networks
—We address the issue of power-controlled shared channel access in future wireless networks supporting packetized data traffic, beyond the voice-oriented continuous traffic prima...
Nicholas Bambos, Sunil Kandukuri
DAC
1994
ACM
15 years 8 months ago
Performance Analysis and Optimization of Schedules for Conditional and Loop-Intensive Specifications
This paper presents a new method,based on Markov chain analysis, to evaluate the performance of schedules of behavioral specifications. The proposed performance measure is the expe...
Subhrajit Bhattacharya, Sujit Dey, Franc Brglez
129
Voted
ICASSP
2009
IEEE
15 years 11 months ago
Interpolating hidden Markov model and its application to automatic instrument recognition
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Tuomas Virtanen, Toni Heittola
145
Voted
DEXAW
2008
IEEE
204views Database» more  DEXAW 2008»
15 years 10 months ago
Particle Swarm Optimization Using Adaptive Mutation
Two new variants of Particle Swarm Optimization (PSO) called AMPSO1 and AMPSO2 are proposed for global optimization problems. Both the algorithms use adaptive mutation using Beta ...
Millie Pant, Radha Thangaraj, Ajith Abraham