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» Multiple target detection using Bayesian learning
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BMCBI
2011
15 years 1 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
16 years 8 months 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
15 years 11 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»
16 years 13 days 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
16 years 8 months 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