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» A Statistical Learning Approach To Document Image Analysis
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ICML
2006
IEEE
14 years 9 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
ICIP
2008
IEEE
14 years 2 months ago
Gradual transition detection using color coherence and other criteria in a video shot meta-segmentation framework
Shot segmentation provides the basis for almost all high-level video content analysis approaches, validating it as one of the major prerequisites for efficient video semantic ana...
Efthymia Tsamoura, Vasileios Mezaris, Ioannis Komp...
IJCAI
1989
13 years 9 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine
RAID
2000
Springer
14 years 1 days ago
Adaptive, Model-Based Monitoring for Cyber Attack Detection
Inference methods for detecting attacks on information resources typically use signature analysis or statistical anomaly detection methods. The former have the advantage of attack...
Alfonso Valdes, Keith Skinner
CIDR
2009
159views Algorithms» more  CIDR 2009»
13 years 9 months ago
RIOT: I/O-Efficient Numerical Computing without SQL
R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly for large datasets whose sizes exceed t...
Yi Zhang 0011, Herodotos Herodotou, Jun Yang 0001