Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurman...
We test a method of clustering dialects of English according to patterns of shared phonological features. Previous linguistic research has generally considered phonological feature...
Naomi Nagy, Xiaoli Zhang, George Nagy, Edgar W. Sc...
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...
Text Summarization and categorization have always been two of the most demanding information retrieval tasks. Deploying a generalized, multifunctional mechanism that produces good ...
This paper presents a novel prototype hierarchy based clustering (PHC) framework for the organization of web collections. It solves simultaneously the problem of categorizing web ...