1,307 results on '"Alfred O. Hero"'
Search Results
202. Correcting camera shake by incremental sparse approximation.
203. Low separation rank covariance estimation using Kronecker product expansions.
204. Two-stage variable selection for molecular prediction of disease.
205. Marginal likelihoods for distributed estimation of graphical model parameters.
206. Multi-layer graph analytics for social networks.
207. Adaptive search for sparse dynamic targets.
208. Kronecker sum decompositions of space-time data.
209. Locally-adaptive similarity metric for deformable medical image registration.
210. Multi-criteria Anomaly Detection using Pareto Depth Analysis.
211. Ensemble weighted kernel estimators for multivariate entropy estimation.
212. Kronecker graphical lasso.
213. Multistage adaptive estimation of sparse signals.
214. Bayesian linear unmixing of time-evolving gene expression data using a hidden Markov model.
215. Measure transformed canonical correlation analysis with application to financial data.
216. Sensor management and provisioning for multiple target radar tracking systems.
217. EEG spatial decoding with shrinkage optimized directed information assessment.
218. Distributed principal component analysis on networks via directed graphical models.
219. Sparse covariance estimation under Kronecker product structure.
220. Large scale correlation detection.
221. Introduction to the Issue on Distributed Information Processing in Social Networks.
222. A local dependence measure and its application to screening for high correlations in large data sets.
223. Robust object pose estimation via statistical manifold modeling.
224. Efficient learning of sparse, distributed, convolutional feature representations for object recognition.
225. Efficient anomaly detection using bipartite k-NN graphs.
226. Tracking Communities in Dynamic Social Networks.
227. Adaptive search for dynamic targets under resource constraints.
228. Shrinkage fisher information embedding of high dimensional feature distributions.
229. Misaligned Principal Components Analysis: Application to gene expression time series analysis.
230. Entropy estimation using the principle of maximum entropy.
231. Performance bounds for sparse parametric covariance estimation in Gaussian models.
232. Biological pathway inference using manifold embedding.
233. A Bernoulli-Gaussian model for gene factor analysis.
234. k-nearest neighbor estimation of entropies with confidence.
235. Scalable Mutual Information Estimation using Dependence Graphs.
236. Convergence Rates for Empirical Estimation of Binary Classification Bounds.
237. Learning to Bound the Multi-class Bayes Error.
238. Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment.
239. Parity Crowdsourcing for Cooperative Labeling.
240. Latent heterogeneous multilayer community detection.
241. Adaptive search for sparse targets with informative priors.
242. Optimized intrinsic dimension estimator using nearest neighbor graphs.
243. Evolutionary spectral clustering with adaptive forgetting factor.
244. Modulated wideband converter with non-ideal lowpass filters.
245. Hyperspectral image segmentation and unmixing using hidden Markov trees.
246. Robust Linear Spectral Unmixing Using Anomaly Detection.
247. Performance Guarantees for Adaptive Estimation of Sparse Signals.
248. Parameter Estimation in Spherical Symmetry Groups.
249. Empirical Non-Parametric Estimation of the Fisher Information.
250. Signal Processing Challenges in Quantitative 3-D Cell Morphology: More than meets the eye.
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