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» Label Ranking Methods based on the Plackett-Luce Model
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 7 days ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
ICIP
2010
IEEE
15 years 6 months ago
Real-time content-aware image resizing using reduced linear model
In this paper is presented an effective and efficient method for content-aware image resizing. It is based on the solution of a linear system where each pixel displacement (compres...
Edoardo Ardizzone, Roberto Gallea, Roberto Pirrone
ICMCS
2006
IEEE
191views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Semantic Multimedia Retrieval using Lexical Query Expansion and Model-Based Reranking
We present methods for improving text search retrieval of visual multimedia content by applying a set of visual models of semantic concepts from a lexicon of concepts deemed relev...
Alexander Haubold, Apostol Natsev, Milind R. Napha...
ICASSP
2008
IEEE
15 years 6 months ago
French prominence: A probabilistic framework
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...
Nicolas Obin, Xavier Rodet, Anne Lacheret-Dujour
CVPR
2010
IEEE
15 years 8 months ago
Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora
We propose a semi-supervised model which segments and annotates images using very few labeled images and a large unaligned text corpus to relate image regions to text labels. Give...
Richard Socher, Li Fei-Fei