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» A comparative study of two object recognition methods
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147
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IJDAR
2006
245views more  IJDAR 2006»
15 years 3 months ago
Object count/area graphs for the evaluation of object detection and segmentation algorithms
Evaluation of object detection algorithms is a non-trivial task: a detection result is usually evaluated by comparing the bounding box of the detected object with the bounding box...
Christian Wolf, Jean-Michel Jolion
126
Voted
CVPR
2010
IEEE
16 years 10 hour ago
Visual Recognition and Detection Under Bounded Computational Resources
Visual recognition and detection are computationally intensive tasks and current research efforts primarily focus on solving them without considering the computational capability ...
Sudheendra Vijayanarasimhan, Ashish Kapoor
148
Voted
CVPR
1998
IEEE
16 years 5 months ago
Probabilistic Reasoning Models for Face Recognition
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...
Chengjun Liu, Harry Wechsler
125
Voted
APWEB
2008
Springer
15 years 4 months ago
A Study on Multi-word Extraction from Chinese Documents
As a sequence of two or more consecutive individual words inherent with contextual semantics of individual words, multi-word attracts much attention from statistical linguistics an...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
151
Voted
ICPR
2010
IEEE
15 years 10 months ago
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted f...
Piotr Koniusz, Krystian Mikolajczyk