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9 papers · 1 filter
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
Steven C. H. Hoi, Xiongwei Wu, Hantang Liu +4
Logo detection from images has many applications, particularly for brand recognition and intellectual property protection. Most existing studies for logo recognition and detection…
An efficient quantum light-matter interface with sub-second lifetime
Sheng-Jun Yang, Xu-Jie Wang, Xiao-Hui Bao +1
Quantum repeater holds the promise for scalable long-distance quantum communication. Towards a first quantum repeater based on memory-photon entanglement, significant progresses ha…
Cascading failures in coupled networks with both inner-dependency and inter-dependency links
Run-Ran Liu, Ming Li, Chun-Xiao Jia +1
We study the percolation in coupled networks with both inner-dependency and inter-dependency links, where the inner- and inter-dependency links represent the dependencies between n…
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang, Xingxing Wang, Gang Wang
We propose a novel approach to enhance the discriminability of Convolutional Neural Networks (CNN). The key idea is to build a tree structure that could progressively learn fine-gr…
Transductive Optimization of Top k Precision
Li-Ping Liu, Thomas G. Dietterich, Nan Li +1
Consider a binary classification problem in which the learner is given a labeled training set, an unlabeled test set, and is restricted to choosing exactly test points to outpu…
Online Stochastic Linear Optimization under One-bit Feedback
Lijun Zhang, Tianbao Yang, Rong Jin +1
In this paper, we study a special bandit setting of online stochastic linear optimization, where only one-bit of information is revealed to the learner at each round. This problem…