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» Quantizing Density Estimators
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NIPS
1998
13 years 9 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland
TCSV
2002
161views more  TCSV 2002»
13 years 7 months ago
Blocking artifact detection and reduction in compressed data
A novel frequency-domain technique for image blocking artifact detection and reduction is presented in this paper. The algorithm first detects the regions of the image which presen...
George A. Triantafyllidis, Dimitrios Tzovaras, Mic...
IJON
2010
119views more  IJON 2010»
13 years 6 months ago
Hyperparameter learning in probabilistic prototype-based models
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
Petra Schneider, Michael Biehl, Barbara Hammer
TIFS
2010
132views more  TIFS 2010»
13 years 6 months ago
JPEG error analysis and its applications to digital image forensics
JPEG is one of the most extensively used image formats. Understanding the inherent characteristics of JPEG may play a useful role in digital image forensics. In this paper, we int...
Weiqi Luo, Jiwu Huang, Guoping Qiu
SIMULATION
2011
13 years 2 months ago
The Activity-tracking paradigm in discrete-event modeling and simulation: The case of spatially continuous distributed systems
From a modelling and simulation perspective, studying dynamic systems consists of focusing on changes in states. According to the precision of state changes, generic algorithms ca...
Alexandre Muzy, Rajanikanth Jammalamadaka, Bernard...