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» Image Based Regression Using Boosting Method
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ICPR
2000
IEEE
16 years 8 months ago
On Holographic Transform Compression of Images
: Lossy transform compression of images is successful and widespread. The JPEG standard uses the discrete cosine transform on blocks of the image and a bit allocation process that ...
Alfred M. Bruckstein, Robert J. Holt, Arun N. Netr...
MM
2009
ACM
269views Multimedia» more  MM 2009»
16 years 1 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
CEAS
2007
Springer
15 years 11 months ago
Learning Fast Classifiers for Image Spam
Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach
AVSS
2008
IEEE
15 years 9 months ago
Super-Resolution of Facial Images in Video with Expression Changes
Super-resolution (SR) of facial images from video suffers from facial expression changes. Most of the existing SR algorithms for facial images make an unrealistic assumption that ...
Jiangang Yu, Bir Bhanu
ICASSP
2011
IEEE
14 years 11 months ago
Joint reduce of metal and beam hardening artifacts using Multi-Energy map approach in X-ray Computed Tomography
Metal and beam-hardening artifacts are tough issues in Computed Tomography (CT) images. This paper proposes an iterative Maximum A Posteriori (MAP) reconstruction algorithm aiming...
Yuling Zheng, Caifang Cai, Thomas Rodet