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PAMI
2006
127views more  PAMI 2006»
15 years 6 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
IJCAT
2007
100views more  IJCAT 2007»
15 years 6 months ago
INCA: qualitative reference framework for incentive mechanisms in P2P networks
: The existence of peer-to-peer networks is due to benefits brought by decentralisation of control and distribution of resources. It is expected that the usage of such networks wi...
Andrew Roczniak, Abdulmotaleb El-Saddik, Pierre L&...
STTT
2008
86views more  STTT 2008»
15 years 6 months ago
Properties of state spaces and their applications
Explicit model checking algorithms explore the full state space of a system. State spaces are usually treated as directed graphs without any specific features. We gather a large co...
Radek Pelánek
IJRR
2007
186views more  IJRR 2007»
15 years 6 months ago
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...
Lin Liao, Dieter Fox, Henry A. Kautz
JCSS
2007
116views more  JCSS 2007»
15 years 6 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...