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» Domain Adaptation for Object Recognition: An Unsupervised Ap...
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PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
15 years 8 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
CVPR
2012
IEEE
13 years 3 months ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
IROS
2006
IEEE
145views Robotics» more  IROS 2006»
15 years 7 months ago
An Automatic Approach to Online Color Training in RoboCup Environments
— Many approaches for extracting landmarks and objects from a camera image based on their color coding were published in the RoboCup domain. They are quite sophisticated and tune...
Patrick Heinemann, Frank Sehnke, Felix Streichert,...
PCM
2005
Springer
272views Multimedia» more  PCM 2005»
15 years 7 months ago
Fast Adaptive Skin Detection in JPEG Images
Skin region detection plays an important role in a variety of applications such as face detection, adult image filtering and gesture recognition. To improve the accuracy and speed...
Qing-Fang Zheng, Wen Gao
IJCAI
2007
15 years 2 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell