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MICAI
2010
Springer
13 years 6 months ago
Automatic Image Annotation Using Multiple Grid Segmentation
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
Gerardo Arellano, Luis Enrique Sucar, Eduardo F. M...
CHI
2010
ACM
14 years 3 months ago
The effect of audience design on labeling, organizing, and finding shared files
In an online experiment, I apply theory from psychology and communications to find out whether group information management tasks are governed by the same communication processes...
Emilee Rader
ICASSP
2011
IEEE
13 years 12 days ago
Learning a discriminative visual codebook using homonym scheme
This paper studies a method for learning a discriminative visual codebook for various computer vision tasks such as image categorization and object recognition. The performance of...
SeungRyul Baek, Chang D. Yoo, Sungrack Yun
NIPS
2008
13 years 10 months ago
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
Abhinav Gupta, Jianbo Shi, Larry S. Davis
NAACL
2007
13 years 10 months ago
Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data
Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a g...
Amarnag Subramanya, Jeff A. Bilmes