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15 years 10 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
ICVGIP
2004
13 years 10 months ago
A Framework for Activity Recognition and Detection of Unusual Activities
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalr...
IWANN
2005
Springer
14 years 2 months ago
Manifold Constrained Finite Gaussian Mixtures
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
Cédric Archambeau, Michel Verleysen
ICML
2003
IEEE
14 years 9 months ago
BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games
We present BL-WoLF, a framework for learnability in repeated zero-sum games where the cost of learning is measured by the losses the learning agent accrues (rather than the number...
Vincent Conitzer, Tuomas Sandholm
NIPS
2004
13 years 10 months ago
The Convergence of Contrastive Divergences
This paper analyses the Contrastive Divergence algorithm for learning statistical parameters. We relate the algorithm to the stochastic approximation literature. This enables us t...
Alan L. Yuille