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Recovering a large matrix from a small subset of its entries is a challenging problem arising in many real applications, such as image inpainting and recommender systems. Many existing approaches formulate this problem as a general low-rank matrix approximation problem. Since the rank operator is nonconvex and discontinuous, most of the recent theoretical(More)
Estimating missing values in visual data is a challenging problem in computer vision, which can be considered as a low rank matrix approximation problem. Most of the recent studies use the nuclear norm as a convex relaxation of the rank operator. However, by minimizing the nuclear norm, all the singular values are simultaneously minimized, and thus the rank(More)
Increasing evidence suggests that depression may be associated with a lack of hippocampal neurogenesis. It is well established that neuronal nitric oxide synthase (nNOS)-derived NO exerts a negative control on the hippocampal neurogenesis. Using genetic and pharmacological methods, we investigated the roles of nNOS in depression induced by chronic mild(More)
Several lines of evidence suggest involvement of NMDA receptors (NMDARs) in the regulation of neurogenesis in adults and the formation of spatial memory. Functional properties of NMDARs are strongly influenced by the type of NR2 subunits incorporated. In adult forebrain regions such as the hippocampus and cortex, only NR2A and NR2B subunits are available to(More)
Recently, hashing techniques have been widely applied to solve the approximate nearest neighbors search problem in many vision applications. Generally, these hashing approaches generate 2^c buckets, where c is the length of the hash code. A good hashing method should satisfy the following two requirements: 1) mapping the nearby data points into the same(More)
Cross media retrieval engines have gained massive popularity with rapid development of the Internet. Users may perform queries in a corpus consisting of audio, video, and textual information. To make such systems practically possible for large mount of multimedia data, two critical issues must be carefully considered: (a) reduce the storage as much as(More)
In many real world scenarios, active learning methods are used to select the most informative points for labeling to reduce the expensive human action. One direction for active learning is selecting the most representative points, ie., selecting the points that other points can be approximated by linear combination of the selected points. However, these(More)
Telomere and telomerase alterations have been reported in mood disorders. However, the role of telomerase in depression remains unclear. Here we show that chronic mild stress (CMS) led to a significant decrease in telomerase reverse transcriptase (TERT) level and telomerase activity in the hippocampus. Treatment with antidepressant fluoxetine reversed the(More)
OBJECTIVE To analyze sexual behavior characteristics and sexually transmitted diseases such as AIDS infections in man who have sex with men (MSM) of Beijing Chaoyang district. METHODS Through selecting 10 MSM as seed in Chaoyang district of the existing education member companion in its main activity place, using snowball sampling to select 1008 people(More)