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» New Features to Identify Computer Generated Images
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ICPR
2008
IEEE
16 years 2 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
ACL
2010
14 years 11 months ago
Generating Image Descriptions Using Dependency Relational Patterns
This paper presents a novel approach to automatic captioning of geo-tagged images by summarizing multiple webdocuments that contain information related to an image's location...
Ahmet Aker, Robert J. Gaizauskas
ICCD
1999
IEEE
86views Hardware» more  ICCD 1999»
15 years 5 months ago
Evaluation of Computing in Memory Architectures for Digital Image Processing Applications
Continuing improvements in semiconductor density are enabling new classes of System-on-a-Chip architectures that combine extensive processing logic and high-density memory. Many o...
David L. Landis, Paul T. Hulina, Scott Deno, Luke ...
ICCV
2005
IEEE
16 years 3 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon
CVPR
2010
IEEE
15 years 5 months ago
Local Features Are Not Lonely - Laplacian Sparse Coding for Image Classification
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...
Shenghua Gao, Wai-Hung Tsang, Liang-Tien Chia, Pei...