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» New Features to Identify Computer Generated Images
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CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 1 months ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse da...
Thomas W. Kelsey, W. Hamish B. Wallace
CVPR
2008
IEEE
16 years 8 months ago
Graph commute times for image representation
We introduce a new image representation that encompasses both the general layout of groups of quantized local invariant descriptors as well as their relative frequency. A graph of...
Nikos Paragios, Regis Behmo, Véronique Prin...
CVPR
2007
IEEE
16 years 8 months ago
Concurrent Multiple Instance Learning for Image Categorization
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jin...
ICIP
2007
IEEE
16 years 8 months ago
Adaptive Hash-Based Side Information Exploitation for Efficient Wyner-Ziv Video Coding
Wyner-Ziv video coding is a lossy source coding paradigm where the video statistics are exploited, partially or totally at the decoder. The side information represents a noisy ver...
Fernando Pereira, João Ascenso
ICIAP
2003
ACM
15 years 12 months ago
Color matching by using tuple matching
In this paper we present a new matching method called Tuple Matching (TM), which is an algorithm for matching of signatures. Since signatures can contain arbitrary features like c...
Dirk Balthasar