Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
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Rong Jin (Michigan State University), Shijun Wang...
Abstract—Multi-channel design has received significant attention for low-power wireless networks (LWNs), such as 802.15.4-based wireless sensor networks, due to its potential of...
Guoliang Xing, Mo Sha, Jun Huang, Gang Zhou, Xiaor...
Face verification in the presence of age progression is an important problem that has not been widely addressed. In this paper, we study the problem by designing and evaluating dis...
—Discrete Cosine Transform (DCT) has been widely used in image/video coding systems, where zigzag scan is usually employed for DCT coefficient organization. However, due to local...
This paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink