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ICCV
2007
IEEE
16 years 8 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICIP
2006
IEEE
16 years 7 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ADMA
2005
Springer
202views Data Mining» more  ADMA 2005»
15 years 8 months ago
A Latent Usage Approach for Clustering Web Transaction and Building User Profile
Web transaction data between web visitors and web functionalities usually convey users’ task-oriented behavior patterns. Clustering web transactions, thus, may capture such infor...
Yanchun Zhang, Guandong Xu, Xiaofang Zhou
CORR
2006
Springer
77views Education» more  CORR 2006»
15 years 6 months ago
Prioritizing Software Inspection Results using Static Profiling
Static software checking tools are useful as an additional automated software inspection step that can easily be integrated in the development cycle and assist in creating secure,...
Cathal Boogerd, Leon Moonen
ICASSP
2007
IEEE
16 years 11 days ago
Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters
Recently, profile context-sensitive HMMs (profile-csHMMs) have been proposed which are very effective in modeling the common patterns and motifs in related symbol sequences. Pro...
Byung-Jun Yoon, P. P. Vaidyanathan