| Signal Coding and Perfect Reconstruction using Spike Trains. | 0 | 0.34 | 2019 |
| An evaluation of pupillary light response models for 2D screens and VR HMDs | 1 | 0.37 | 2018 |
| Learning Feedforward and Recurrent Deterministic Spiking Neuron Network Feedback Controllers. | 0 | 0.34 | 2017 |
| Automatic Discovery of Common and Idiosyncratic Latent Effects in Multilevel Regression. | 0 | 0.34 | 2017 |
| Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal Networks. | 3 | 0.42 | 2016 |
| Automatic Detection of Latent Common Clusters of Groups in MultiGroup Regression. | 0 | 0.34 | 2016 |
| Decoupling light reflex from pupillary dilation to measure emotional arousal in videos. | 3 | 0.40 | 2016 |
| Denoising Time Series by Way of a Flexible Model for Phase Space Reconstruction. | 0 | 0.34 | 2016 |
| Image denoising using the higher order singular value decomposition. | 37 | 0.96 | 2013 |
| Inventory Pooling to Deliver Differentiated Service. | 4 | 0.44 | 2013 |
| Trainable Convolution Filters and their Application to Face Recognition. | 15 | 0.55 | 2012 |
| A finite-sample, distribution-free, probabilistic lower bound on mutual information | 1 | 0.40 | 2011 |
| Maximizing all margins: Pushing face recognition with Kernel Plurality | 26 | 0.91 | 2011 |
| The complex wave representation of distance transforms | 2 | 0.46 | 2011 |
| Using the higher order singular value decomposition for video denoising | 2 | 0.42 | 2011 |
| Eigenbubbles: An Enhanced Apparent BRDF Representation | 0 | 0.34 | 2010 |
| Automated Filter Parameter Selection Using Measures of Noiseness | 1 | 0.37 | 2010 |
| Profiling Phishing Emails Based on Hyperlink Information | 10 | 0.63 | 2010 |
| A Novel Kernel for Learning a Neuron Model from Spike Train Data. | 4 | 0.41 | 2010 |
| Contemporary Computing - Third International Conference, IC3 2010, Noida, India, August 9-11, 2010, Proceedings, Part II | 56 | 3.42 | 2010 |
| A method for compact image representation using sparse matrix and tensor projections onto exemplar orthonormal bases | 12 | 0.87 | 2010 |
| Volterrafaces: Discriminant analysis using Volterra kernels | 24 | 0.87 | 2009 |
| Image Filtering Driven by Level Curves | 2 | 0.37 | 2009 |
| Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back | 0 | 0.34 | 2009 |
| Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration | 17 | 0.76 | 2009 |
| Dynamical constraints on using precise spike timing to compute in recurrent cortical networks. | 10 | 0.78 | 2008 |
| Beyond Svd: Sparse Projections Onto Exemplar Orthonormal Bases For Compact Image Representation | 2 | 0.46 | 2008 |
| On path correlation and PERT bias | 1 | 0.35 | 2008 |
| BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequences. | 1 | 0.38 | 2007 |
| A Novel Process Approach to SEITON: A Case Study | 0 | 0.34 | 2007 |
| BLISS: binding site level identification of shared signal-modules in DNA regulatory sequences. | 22 | 0.41 | 2006 |
| New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration | 8 | 0.84 | 2006 |
| On the sensitive dependence on initial conditions of the dynamics of networks of spiking neurons. | 3 | 0.55 | 2006 |
| A Conic Section Classifier and its Application to Image Datasets. | 1 | 0.36 | 2006 |
| Average fill rate and horizon length | 3 | 0.55 | 2005 |
| Converting numerical classification into text classification | 14 | 0.92 | 2003 |
| Dynamical Constraints on Computing with Spike Timing in the Cortex | 1 | 0.41 | 2002 |
| Using text classifiers for numerical classification | 4 | 0.43 | 2001 |
| On the phase-space dynamics of systems of spiking neurons. II: formal analysis. | 3 | 0.55 | 2001 |
| Human Performance on Clustering Web Pages: A Preliminary Study | 20 | 6.46 | 1998 |
