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ORCIDRakesh Chalasani
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2010 – 2019
- 2015
[j3]Rakesh Chalasani, José C. Príncipe:
Self-organizing maps with information theoretic learning. Neurocomputing 147: 3-14 (2015)- [j2]Rakesh Chalasani, José C. Príncipe:
Context Dependent Encoding Using Convolutional Dynamic Networks. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1992-2004 (2015) - 2014
- [j1]José C. Príncipe, Rakesh Chalasani:
Cognitive Architectures for Sensory Processing. Proc. IEEE 102(4): 514-525 (2014) - [c8]Rakesh Chalasani, José C. Príncipe:
Dynamic sparse coding with smoothing proximal gradient method. ICASSP 2014: 7188-7192 - 2013
- [c7]Rakesh Chalasani, José C. Príncipe, Naveen Ramakrishnan:
A fast proximal method for convolutional sparse coding. IJCNN 2013: 1-5 - [c6]Rakesh Chalasani, José C. Príncipe:
Deep Predictive Coding Networks. ICLR (Workshop Poster) 2013 - 2012
- [c5]Rakesh Chalasani, Goktug T. Cinar
, José C. Príncipe:
Sequential causal estimation and learning from time-varying images. IJCNN 2012: 1-5 - [c4]Rakesh Chalasani, José C. Príncipe:
Temporal context in object recognition. MLSP 2012: 1-6 - 2011
- [c3]Rakesh Chalasani, José C. Príncipe:
Sparse analog associative memory via L1-regularization and thresholding. IJCNN 2011: 1994-1999 - 2010
- [c2]Rakesh Chalasani, José C. Príncipe:
Self organizing maps with the correntropy induced metric. IJCNN 2010: 1-6
2000 – 2009
- 2008
- [c1]Ashwin Kothari, Avinash G. Keskar, Rakesh Chalasani, Shreesha Srinath:
Rough Neuron Based Neural Classifier. ICETET 2008: 624-628
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