41 citations · 174 across the 31 of their papers we have counts for
4 papers · 1 filter
Deformable Part Networks
Ziming Zhang, Rongmei Lin, Alan Sullivan
In this paper we propose novel Deformable Part Networks (DPNs) to learn {\em pose-invariant} representations for 2D object recognition. In contrast to the state-of-the-art pose-awa…
LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks
Ziming Zhang
In this paper we propose solving localized multiple kernel learning (LMKL) using LMKL-Net, a feedforward deep neural network. In contrast to previous works, as a learning principle…
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
Ziming Zhang, Matthew Brand
By lifting the ReLU function into a higher dimensional space, we develop a smooth multi-convex formulation for training feed-forward deep neural networks (DNNs). This allows us to…
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning
Ziming Zhang, Yuanwei Wu, Guanghui Wang
Understanding the global optimality in deep learning (DL) has been attracting more and more attention recently. Conventional DL solvers, however, have not been developed intentiona…