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» Mixture model based contextual image retrieval
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ISVC
2007
Springer
15 years 5 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
CLEF
2010
Springer
15 years 9 days ago
DAEDALUS at ImageCLEF Wikipedia Retrieval 2010: Expanding with Semantic Information from Context
This paper describes the participation of DAEDALUS at the ImageCLEF 2010 Wikipedia Retrieval task. The main focus of our experiments is to evaluate the impact in the image retrieva...
Sara Lana-Serrano, Julio Villena-Román, Jos...
CVPR
2005
IEEE
16 years 1 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
ICCV
2005
IEEE
16 years 1 months ago
Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions
In this paper, we propose a new method for simultaneously estimating the illumination of the scene and the reflectance property of the object from a single image. We assume that t...
Kenji Hara, Ko Nishino, Katsushi Ikeuchi
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
15 years 11 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler