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CVPR
2007
IEEE
14 years 7 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
ECCV
2006
Springer
14 years 7 months ago
Scene Classification Via pLSA
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
13 years 10 months ago
Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification
Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Comm...
Milos Kovacevic, Michelangelo Diligenti, Marco Gor...
ICML
2009
IEEE
14 years 6 months ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...
ICCV
2011
IEEE
12 years 5 months ago
Smooth Object Retrieval using a Bag of Boundaries
We describe a scalable approach to 3D smooth object retrieval which searches for and localizes all the occurrences of a user outlined object in a dataset of images in real time. T...
Relja Arandjelovic, Andrew Zisserman