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13 papers · 1 filter
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
Yu Pan, Jing Xu, Maolin Wang +4
Recurrent Neural Networks (RNNs) and their variants, such as Long-Short Term Memory (LSTM) networks, and Gated Recurrent Unit (GRU) networks, have achieved promising performance in…
A Self-Organizing Tensor Architecture for Multi-View Clustering
Lifang He, Chun-ta Lu, Yong Chen +4
In many real-world applications, data are often unlabeled and comprised of different representations/views which often provide information complementary to each other. Although sev…
A Conjugate-Gradient Approach to the Parameter Estimation Problem of Magnetic Resonance Advection Imaging
Simon Hubmer, Andreas Neubauer, Ronny Ramlau +1
We consider the inverse problem of estimating the spatially varying pulse wave velocity in blood vessels in the brain from dynamic MRI data, as it appears in the recently proposed…
Heterogeneous and rate-dependent streptavidin-biotin unbinding revealed by high-speed force spectroscopy and atomistic simulations
Felix Rico, Andreas Russek, Laura Gonzalez +2
Receptor-ligand interactions are essential for biological function and their binding strength is commonly explained in terms of static lock-and-key models based on molecular comple…
Developing a Portable Natural Language Processing Based Phenotyping System
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang +7
This paper presents a portable phenotyping system that is capable of integrating both rule-based and statistical machine learning based approaches. Our system utilizes UMLS to extr…
Reliable Gene Mutation Prediction in Clear Cell Renal Cell Carcinoma through Multi-classifier Multi-objective Radiogenomics Model
Xi Chen, Zhiguo Zhou, Raquibul Hannan +6
Genetic studies have identified associations between gene mutations and clear cell renal cell carcinoma (ccRCC). Because the complete gene mutational landscape cannot be characteri…