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» Objective Functions for Feature Discrimination
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137
Voted
IJCV
1998
121views more  IJCV 1998»
15 years 6 days ago
Generalization to Novel Views: Universal, Class-based, and Model-based Processing
A major problem in object recognition is that a novel image of a given object can be different from all previously seen images. Images can vary considerably due to changes in viewi...
Yael Moses, Shimon Ullman
CVPR
1998
IEEE
15 years 4 months ago
Appearance Based Behavior Recognition by Event Driven Selective Attention
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous ...
Toshikazu Wada, Takashi Matsuyama
116
Voted
ICPR
2002
IEEE
16 years 1 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
83
Voted
ICPR
2002
IEEE
16 years 1 months ago
Relationship between Identification Metrics: Expected Confusion and Area Under a ROC Curve
The mathematical relationship between the expectedconfusion metric and the area under a receiver operating characteristic (ROC) curve is derived. Given a limited database of subje...
Amos Y. Johnson, Aaron F. Bobick
CVPR
2009
IEEE
16 years 7 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin