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PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
16 years 18 days ago
Recognizing Multiple Objects via Regression Incorporating the Co-occurrence of Categories
Abstract. Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single category, although objects from multiple...
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani, Yoichi...
182
Voted
QSHINE
2009
IEEE
16 years 24 days ago
Cooperative Training in Wireless Sensor and Actor Networks
Exploiting features of high density wireless sensor networks represents a challenging issue. In this work, the training of a sensor network which consists of anonymous and asynchro...
Francesco Betti Sorbelli, Roberto Ciotti, Alfredo ...
ICPR
2006
IEEE
16 years 7 months ago
A Trainable Similarity Measure for Image Classification
In object recognition problems a two-stage system is usually adopted composed of a fast and simple detector and a more complex classifier. This paper studies a design of the secon...
Jana Novovicová, Pavel Paclík, Rober...
SIGGRAPH
2010
ACM
15 years 10 months ago
Spatial relationship preserving character motion adaptation
This paper presents a new method for editing and retargeting motions that involve close interactions between body parts of single or multiple articulated characters, such as danci...
Edmond S. L. Ho, Taku Komura, Chiew-Lan Tai
252
Voted
ICCV
2011
IEEE
14 years 6 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille