SADIH: Semantic-Aware DIscrete Hashing

Due to its low storage cost and fast query speed, hashing has been recognized to accomplish similarity search in large-scale multimedia retrieval applications. Particularly supervised hashing has recently received considerable research attention by leveraging the label information to preserve the pairwise similarities of data points in the Hamming space. However, there still remain two crucial bottlenecks: 1) the learning process of the full pairwise similarity preservation is computationally unaffordable and unscalable to deal with big data; 2) the available category information of data are not well-explored to learn discriminative hash functions. To overcome these challenges, we propose a unified Semantic-Aware DIscrete Hashing (SADIH) framework, which aims to directly embed the transformed semantic information into the asymmetric similarity approximation and discriminative hashing function learning. Specifically, a semantic-aware latent embedding is introduced to asymmetrically preserve the full pairwise similarities while skillfully handle the cumbersome n times n pairwise similarity matrix. Meanwhile, a semantic-aware autoencoder is developed to jointly preserve the data structures in the discriminative latent semantic space and perform data reconstruction. Moreover, an efficient alternating optimization algorithm is proposed to solve the resulting discrete optimization problem. Extensive experimental results on multiple large-scale datasets demonstrate that our SADIH can clearly outperform the state-of-the-art baselines with the additional benefit of lower computational costs.Comment: Accepted by The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19

Clinical investigation on angle-closure glaucoma patients with cataract treated by phacoemulsification combined with trabeculectomy

AIM: To investigate the effectiveness of phacoemulsification with intraocular lens(IOL)implantation combined with trabeculectomy in patients with cataract and angle-closure glaucoma.<p>METHODS: In 36 cases(46 eyes)of angle-closure glaucoma with cataract, phacoemulsification with foldable IOL implantation combined with trabeculectomy was performed. Data of pre- and post-operation, including visual acuity, intraocular pressure, filtering bleb, anterior chamber depth, chamber angle, and funds were all recorded and analyzed in detail.<p>RESULTS: During the follow-up of 3 months to 2 years,visual acuity of 43 eyes(93.5%)got improved, and intraocular pressure in 44 eyes(95.7%)were controlled in normal range(<21mmHg). Mean anterior chamber depth of 35 patients(46 eyes)got deeper from 2.1mm to 3.8mm(average 2.1±0.3mm to 3.8±0.4mm)after operation, with chamber angle opened to some extent. Six eyes(13.0%)got mild to moderate corneal edema, without corneal endothelial decompensation.<p>CONCLUSION: Phacoemulsification with IOL implantation combined with trabeculectomy is an effective and safe surgical technique for patients with angle-closure glaucoma and cataract, with satisfied control of intraocular pressure, deepening of anterior chamber, opening of anterior chamber angle, and improving visual function