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» Multiple target detection using Bayesian learning
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BMCBI
2011
13 years 5 months ago
ATAQS: A computational software tool for high throughput transition optimization and validation for selected reaction monitoring
Background: Since its inception, proteomics has essentially operated in a discovery mode with the goal of identifying and quantifying the maximal number of proteins in a sample. I...
Mi-Youn K. Brusniak, Sung-Tat Kwok, Mark Christian...
CVPR
2006
IEEE
15 years 1 days ago
Multi-Resolution Patch Tensor for Facial Expression Hallucination
In this paper, we propose a sequential approach to hallucinate/synthesize high-resolution images of multiple facial expressions. We propose an idea of multi-resolution tensor for ...
Kui Jia, Shaogang Gong
ECCV
2010
Springer
14 years 3 months ago
Weakly Supervised Shape Based Object Detection with Particle Filter
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
ICRA
2008
IEEE
136views Robotics» more  ICRA 2008»
14 years 4 months ago
Multi-agent probabilistic search in a sequential decision-theoretic framework
— Consider the task of searching a region for the presence or absence of a target using a team of multiple searchers. This paper formulates this search problem as a sequential pr...
Timothy H. Chung, Joel W. Burdick
CVPR
2008
IEEE
15 years 1 days ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros