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8 years 9 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
CVPR
2010
IEEE
9 years 6 months ago
An automatic unsupervised classification of MR images in Alzheimer's disease
Image-analysis methods play an important role in helping detect brain changes in and diagnosis of Alzheimer's Disease (AD). In this paper, we propose an automatic unsupervised...
Xiaojing Long

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Gemma RoigStudent, PhD
La Salle, Universitat Ramon Llull
Gemma Roig
Gemma Roig received the BS degree in image and sound engineering, the MS degree in telecommunication engineering and the MS in telecommunication networks from La Salle, Universitat...
ICMLA
2009
9 years 7 months ago
Statistical Decision Making for Authentication and Intrusion Detection
User authentication and intrusion detection differ from standard classification problems in that while we have data generated from legitimate users, impostor or intrusion data is s...
Christos Dimitrakakis, Aikaterini Mitrokotsa

Publication
334views
9 years 7 months ago
Rollout Sampling Approximate Policy Iteration
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
Christos Dimitrakakis, Michail G. Lagoudakis

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nmakniStudent, PhD
Lille University
nmakni
CVPR
2009
IEEE
1599views Computer Vision» more  CVPR 2009»
10 years 5 months ago
Multi-Label Sparse Coding for Automatic Image Annotation
In this paper, we present a multi-label sparse coding framework for feature extraction and classification within the context of automatic image annotation. First, each image is ...
Changhu Wang (University of Science and Technology...
CVPR
2009
IEEE
10 years 5 months ago
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly be...
Christoph H. Lampert, Hannes Nickisch, Stefan Harm...
CVPR
2009
IEEE
10 years 5 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
CVPR
2009
IEEE
10 years 5 months ago
Recognition using Regions
This paper presents a unified framework for object detection, segmentation, and classification using regions. Region features are appealing in this context because: (1) they enco...
Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, Jitendr...
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