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Found 5 papers, 2 papers with code
Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection
This paper introduces HPC-Net, a high-precision and rapidly convergent object detection network.
Consistent Collaborative Filtering via Tensor Decomposition
In this work we develop Sliced Anti-symmetric Decomposition (SAD), a new model for collaborative filtering based on implicit feedback.
Fast moment estimation for generalized latent Dirichlet models
We illustrate the utility of our approach on simulated data, comparing results from MELD to alternative methods, and we show the promise of our approach through the application of MELD to several data sets.
Bayesian group latent factor analysis with structured sparsity
Latent factor models are the canonical statistical tool for exploratory analyses of low-dimensional linear structure for an observation matrix with p features across n samples.
Differential gene co-expression networks via Bayesian biclustering models
Further, we develop a method to recover gene co-expression networks from the estimated sparse biclustering matrices.
