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» Using Maximum Entropy for Automatic Image Annotation
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ECIR
2009
Springer
14 years 5 months ago
Exploiting Visual Concepts to Improve Text-Based Image Retrieval
In this paper, we study how to automatically exploit visual concepts in a text-based image retrieval task. First, we use Forest of Fuzzy Decision Trees (FFDTs) to automatically ann...
Sabrina Tollari, Marcin Detyniecki, Christophe Mar...
EMNETS
2007
13 years 11 months ago
Image browsing, processing, and clustering for participatory sensing: lessons from a DietSense prototype
Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, an...
Sasank Reddy, Andrew Parker, Josh Hyman, Jeff Burk...
ICIP
2002
IEEE
14 years 9 months ago
Semantic based categorization, browsing and retrieval in medical image databases
Content-based retrieval (CBIR) methods in medical databases have been designed to support specific tasks, such as retrieval of digital mammograms or 3D MRI images. These methods c...
Aleksandra Mojsilovic, José Gomes
ICASSP
2011
IEEE
12 years 11 months ago
Contour-based hidden Markov model to segment 2D ultrasound images
The segmentation of ultrasound images is challenging due to the difficulty of appropriate modeling of their appearance variations including speckle as well as signal dropout. We ...
Xiaoning Qian, Byung-Jun Yoon
ICASSP
2011
IEEE
12 years 11 months ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...