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CHI
2003
ACM
16 years 7 months ago
Simple cognitive modeling in a complex cognitive architecture
Cognitive modeling has evolved into a powerful tool for understanding and predicting user behavior. Higher-level modeling frameworks such as GOMS and its variants facilitate fast ...
Dario D. Salvucci, Frank J. Lee
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
ICAPR
2005
Springer
16 years 8 days ago
Multi-view EM Algorithm for Finite Mixture Models
In this paper, Multi-View Expectation and Maximization algorithm for finite mixture models is proposed by us to handle realworld learning problems which have natural feature split...
Xing Yi, Yunpeng Xu, Changshui Zhang
ICCV
2011
IEEE
14 years 6 months ago
Strong Supervision From Weak Annotation: Interactive Training of Deformable Part Models
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
Steven Branson, Pietro Perona, Serge Belongie
AINA
2009
IEEE
16 years 1 months ago
The Small-World Model for Amino Acid Interaction Networks
—In this paper we introduce the notion of protein interaction network. This is a graph whose vertices are the protein’s amino acids and whose edges are the interactions between...
Omar Gaci, Stefan Balev