Publications

Journal Articles:

  1. Kumar R., Banerjee A., Vemuri B. C., Pfister H. (2011) Trainable Convolution Filters and their Application to Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, (to appear).

  2. VanderKraats N. D., Banerjee A. (2011) A Finite-Sample, Distribution-Free, Probabilistic Lower Bound on Mutual Information. Neural Computation, 23(7), pp. 1862-1898.

  3. Kumar R., Barmpoutis A., Banerjee A., Vemuri B. C. (2011) Non-Lambertian Reflectance Modeling and Shape Recovery of Faces using Tensor Splines. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(3), pp. 553-567.

  4. Gurumoorthy K. S., Rajwade A., Banerjee A., Rangarajan A. (2010) A Method for Compact Image Representation using Sparse Matrix and Tensor Projections onto Exemplar Orthonormal Bases. IEEE Transactions on Image Processing, 19(2), pp. 322-334.

  5. Gurumoorthy K. S., Banerjee A., Paul A. (2009) Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back. Operations Research Letters, 37(3), pp. 159-162. (Available via Science Direct here)

  6. Rajwade A., Banerjee A., Rangarajan A. (2008) Probability Density Estimation using Isocontours and Isosurfaces: Application to Information Theoretic Image Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(3), pp. 475-491.

  7. Meng H., Banerjee A., Zhou L. (2007) BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequences. Bioinformatics, 23(23), pp. 3249-3250.

  8. Banerjee A., Series P., Pouget A. (2007) Dynamical Constraints on using Precise Spike Timing to Compute in Recurrent Cortical Networks. Neural Computation, 20(4), pp. 974-993.

  9. Banerjee A., Paul, A. (2007) On Activity Correlation and PERT Bias. European Journal of Operational Research, 189(3), pp. 1208-1261. (Available via Science Direct here)

  10. Banerjee A., Carrillo, J. E., Paul, A. (2007) Projects with Sequential Iteration: Models and Complexity. IIE Transactions, 39, pp. 453-463.

  11. Meng, H., Banerjee A., Zhou, L. (2006) BLISS: biding site level identification of shared signal-modules in DNA regulatory sequences. BMC Bioinformatics, 7:287.

  12. Banerjee A. (2006) On the Sensitive Dependence on Initial Conditions of the Dynamics of Networks of Spiking Neurons. Journal of Computational Neuroscience, 20(3), pp. 321-348. (The original publication is available at http://www.springerlink.com/content/yt95x8665754735x)

  13. Banerjee A., Paul A. (2005) Average Fill Rate and Horizon Length. Operations Research Letters, 33(5), pp. 525-530. (Available via Science Direct here)

  14. Macskassy S. A., Hirsh, H., Banerjee A., Dayanik A. A. (2003) Converting Numerical Classification into Text Classification. Artificial Intelligence, 143(1), pp. 51-77.

  15. Banerjee A. (2001) On the Phase-Space Dynamics of Systems of Spiking Neurons. II: Formal Analysis. Neural Computation, 13(1), pp. 195-225.

  16. Banerjee A. (2001) On the Phase-Space Dynamics of Systems of Spiking Neurons. I: Model and Experiments . Neural Computation, 13(1), pp. 161-193.

  17. Banerjee A. (2001) The roles played by External Input and Synaptic Modulations in the Dynamics of Neuronal Systems. BBS commentary on I. Tsuda, "Towards an interpretation of dynamic neural activity in terms of chaotic dynamical systems". The Behavioral and Brain Sciences, 24(5), pp. 811-812.

  18. Ellman T., Keane J., Banerjee A., and Armhold G. (1998) A Transformation System for Interactive Reformulation of Design Optimization Strategies . Research in Engineering Design, 10(1), pp.30-61.

Conference Papers:

  1. Kumar, R., Banerjee, A., Vemuri, B. C., Pfister, H. (2011) Maximizing All Margins: Pushing Face Recognition with Kernel Plurality. International Conference on Computer Vision (ICCV).

  2. Fisher, N., Banerjee, A. (2010) A Novel Kernel for Learning a Neuron Model from Spike Train Data. Advances in Neural Information Processing Systems 24 (NIPS).

  3. Kumar, R., Vemuri, B. C., Banerjee, A. (2010) Eigenbubbles: An Enhanced Apparent BRDF Representation. International Conference on Pattern Recognition (ICPR).

  4. Rajwade, A., Rangarajan, A., Banerjee A. (2010) Automated Filter Parameter Selection using Measures of "Noiseness". Canadian Robot Vision Conference (CRV).

  5. Kumar, R., Banerjee, A., Vemuri, B. C. (2009) Volterrafaces: Discriminant Analysis using Volterra Kernels. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR).

  6. Rajwade, A., Banerjee, A., Rangarajan, A. (2009) Image Filtering Driven by Level Curves. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR).

  7. Gurumoorthy, K. S., Rajwade, A., Banerjee, A., Rangarajan, A. (2008) Beyond SVD: Sparse Projections Onto Exemplar Orthonormal Bases for Compact Image Representation. International Conference on Pattern Recognition (ICPR).

  8. Kodipaka, S., Banerjee, A., Vemuri, B. C. (2008) Large Margin Pursuit for a Conic Section Classifier. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR).

  9. Barmpoutis, A., Kumar, R., Vemuri, B. C., Banerjee, A. (2008) Beyond the Lambertian Assumption: A generative model for Apparent BRDF fields of Faces using Anti-Symmetric Tensor Splines. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR).

  10. Banerjee, A., Kodipaka, S., Vemuri, B. C. (2006) A Conic Section Classifier and its Application to Image Datasets. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR).

  11. Rajwade, A., Banerjee, A., Rangarajan, A. (2006) A New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR).

  12. Rajwade, A., Banerjee, A., Rangarajan, A. (2006) Continuous Image Representations Avoid the Histogram Binning Problem in Mutual Information Based Image Registration. The Third IEEE International Symposium on Biomedical Imaging (ISBI).

  13. Banerjee A., Pouget A. (2003) Dynamical Constraints on Computing with Spike Timing in the Cortex. Advances in Neural Information Processing Systems 15 (NIPS).

  14. Macskassy S. A., Hirsh, H., Banerjee A., Dayanik A. A. (2001) Using Text Classifiers for Numerical Classification. The Seventeenth International Joint Conference on Artificial Intelligence (IJCAI).

  15. Macskassy S. A., Banerjee A., Davison B. D., Hirsh H. (1998) Human Performance on Clustering Web Pages: A Preliminary Study. The Fourth International Conference on Knowledge Discovery and Data Mining (KDD).

  16. Banerjee A., Hirsh H., and Ellman T. (1995) Inductive Learning of Feature Tracking Rules for Scientific Visualization. Workshop on Machine Learning in Engineering, IJCAI.

  17. Hirsh H., Ellman T., Banerjee A., Drischel D., Yao H., and Zabusky N. (1995) Reduced Model Formation for 2D Vortex Interactions Using Machine Learning. Systematic Methods of Scientific Discovery AAAI Symposium.

  18. Banerjee A. (1994) Initializing Neural Networks using Decision Trees. Proceedings of the International Workshop on Computational Learning and Natural Learning Systems (CLNL).

Others:

  1. Banerjee A. (2002) The Spike Activity of Neocortical Columns: A Dynamical Systems Analysis. Neural Information and Coding, (abstract).

  2. Banerjee, A. (2001) The Phase-Space Dynamics of Systems of Spiking Neurons. Ph.D Thesis, Department of Computer Science, Rutgers University.