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ECCV
2010
Springer
13 years 8 months ago
What Does Classifying More Than 10, 000 Image Categories Tell Us?
Image classification is a critical task for both humans and computers. One of the challenges lies in the large scale of the semantic space. In particular, humans can recognize tens...
Jia Deng, Alexander C. Berg, Kai Li, Li Fei-Fei
IBPRIA
2005
Springer
14 years 2 months ago
Appearance-Based Recognition of Words in American Sign Language
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...
Morteza Zahedi, Daniel Keysers, Hermann Ney
TASLP
2011
13 years 3 months ago
A Generative Student Model for Scoring Word Reading Skills
—This paper presents a novel student model intended to automate word-list-based reading assessments in a classroom setting, specifically for a student population that includes b...
Joseph Tepperman, Sungbok Lee, Shrikanth Narayanan...
MM
2004
ACM
170views Multimedia» more  MM 2004»
14 years 2 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
CIKM
2004
Springer
14 years 2 months ago
Regularizing translation models for better automatic image annotation
The goal of automatic image annotation is to automatically generate annotations for images to describe their content. In the past, statistical machine translation models have been...
Feng Kang, Rong Jin, Joyce Y. Chai