"This book is about the fundamentals of data structures and algorithms--the basic elements from which large and complex software artifacts are built. To develop a solid unders...
This paper presents a unified framework for object detection,
segmentation, and classification using regions. Region
features are appealing in this context because: (1) they enco...
Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, Jitendr...
In this paper, we present a multi-label sparse coding
framework for feature extraction and classification within
the context of automatic image annotation. First, each image
is ...
Changhu Wang (University of Science and Technology...
Graph-cuts based algorithms are effective for a variety
of segmentation tasks in computer vision. Ongoing research
is focused toward making the algorithms even more general,
as ...
We introduce the problem of repetitive nearest neighbor search in relevance feedback and propose an efficient search scheme for high dimensional feature spaces. Relevance feedback...