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CIVR
2005
Springer
183views Image Analysis» more  CIVR 2005»
13 years 10 months ago
Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation
This paper describes a simple framework for automatically annotating images using non-parametric models of distributions of image features. We show that under this framework quite ...
Alexei Yavlinsky, Edward Schofield, Stefan M. R&uu...
ECCV
2004
Springer
14 years 6 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
CVPR
2004
IEEE
14 years 6 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko
ETVC
2008
13 years 6 months ago
Sparse Multiscale Patches for Image Processing
Abstract. This paper presents a framework to define an objective measure of the similarity (or dissimilarity) between two images for image processing. The problem is twofold: 1) de...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich...
BMCBI
2008
108views more  BMCBI 2008»
13 years 4 months ago
A nonparametric model for quality control of database search results in shotgun proteomics
Background: Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bo...
Jiyang Zhang, Jianqi Li, Xin Liu, Hongwei Xie, Yun...