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ICCV
2005
IEEE
16 years 7 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler
ICIP
2004
IEEE
16 years 7 months ago
Stochastic modeling of volume images with a 3-d hidden markov model
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
Jia Li, Dhiraj Joshi, James Ze Wang
ICIP
2009
IEEE
16 years 6 months ago
Automatic Frontal Face Annotation And Aam Building For Arbitrary Expressions From A Single Frontal Image Only
In recent years, statistically motivated approaches for the registration and tracking of non-rigid objects, such as the Active Appearance Model (AAM), have become very popular. A ...
ICIP
2007
IEEE
15 years 11 months ago
Steganalyzing Texture Images
A texture image is of noisy nature in its spatial representation. As a result, the data hidden in texture images, in particular in raw texture images, are hard to detect with curr...
Chunhua Chen, Yun Q. Shi, Guorong Xuan
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
15 years 11 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu