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TIP
2010
155views more  TIP 2010»
15 years 5 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
173
Voted
IOR
2011
220views more  IOR 2011»
15 years 1 months ago
Optimal Inventory Policies when Purchase Price and Demand Are Stochastic
In this paper we consider the problem of a firm that faces a stochastic (Poisson) demand and must replenish from a market in which prices fluctuate, such as a commodity market. ...
Peter Berling, Victor Martínez-de-Alb&eacut...
MIA
2010
95views more  MIA 2010»
15 years 1 months ago
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data
A number of analysis tools have been developed for the estimation of brain atrophy using MRI. Since brain atrophy is being increasingly used as a marker of disease progression in ...
Swati Sharma, Vincent Noblet, François Rous...
CVPR
2012
IEEE
13 years 9 months ago
Probabilistic tensor voting for robust perceptual grouping
We address the problem of unsupervised segmentation and grouping in 2D and 3D space, where samples are corrupted by noise, and in the presence of outliers. The problem has attract...
Dian Gong, Gérard G. Medioni
RT
1999
Springer
15 years 11 months ago
Lighting Design: A Goal Based Approach using Optimisation
There is a need for reliable lighting design applications because available tools are limited and inappropriate for interactive or creative use. Architects and lighting designers ...
António Cardoso Costa, António Augus...