Browsing by Keywords "Benchmark datasets"
Now showing items 1-4 of 4
-
Attributes2Classname: a discriminative model for attribute-based unsupervised zero-shot learning
(IEEE, 2017-10)We propose a novel approach for unsupervised zero-shot learning (ZSL) of classes based on their names. Most existing unsupervised ZSL methods aim to learn a model for directly comparing image features and class names. ... -
Conceptfusion: A flexible scene classification framework
(Springer, 2015-03-04)We introduce ConceptFusion, a method that aims high accuracy in categorizing large number of scenes, while keeping the model relatively simpler and efficient for scalability. The proposed method combines the advantages of ... -
FAME: Face association through model evolution
(IEEE, 2015-06)We attack the problem of building classifiers for public faces from web images collected through querying a name. The search results are very noisy even after face detection, with several irrelevant faces corresponding to ... -
Hypergraph-theoretic partitioning models for parallel web crawling
(Springer, London, 2012)Parallel web crawling is an important technique employed by large-scale search engines for content acquisition. A commonly used inter-processor coordination scheme in parallel crawling systems is the link exchange scheme, ...