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292 results on '"sparseness"'

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251. An Adaptive Homeostatic Algorithm for the Unsupervised Learning of Visual Features.

252. Back-Propagation Learning in Deep Spike-By-Spike Networks.

253. The double focal transformation and its application to data reconstruction

254. The double focal transformation and its application to data reconstruction

255. The influence function of penalized regression estimators

256. Discrete Wavelet Transform Decomposition Level Determination Exploiting Sparseness Measurement

257. Network architecture underlying maximal separation of neuronal representations

258. Sparseness Constrained Nonnegative Matrix Factorization for Unsupervised 3D Segmentation of Multichannel Images: Demonstration on Multispectral Magnetic Resonance Image of the Brain

259. Relating sensory information processing and behavior in the olfactory system

260. Bayesian and Information-Theoretic Learning of High Dimensional Data

261. Model selection in sparse contingency tables: LASSO penalties vs classical method

262. On the Measurement of Model Fit for Sparse Categorical Data

263. Network architecture underlying maximal separation of neuronal representations

264. Biobjective sparse principal component analysis

265. The double focal transformation and its application to data reconstruction

266. New methods for MRI denoising based on sparseness and self-similarity

267. Primal and dual model representations in kernel-based learning

268. Nonnegative Matrix Factorization Using Projected Gradient Algorithms with Sparseness Constraints

269. Pénalités hiérarchiques pour l'intégration de connaissances dans les modèles statistiques

270. Explicit Object Representation by Sparse Neural Codes

271. Nonnegative Matrix Factorization Using Projected Gradient Algorithms with Sparseness Constraints

272. Extracting Garch Effects from Asset Returns Using Robust NMF

273. Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical Models.

274. Training sparse least squares support vector machines by the QR decomposition.

275. Different latent class models were used and evaluated for assessing the accuracy of campylobacter diagnostic tests: overcoming imperfect reference standards?

276. Nonparallel support vector regression model and its SMO-type solver.

277. Sparse Ordinal Logistic Regression and Its Application to Brain Decoding.

278. Application of a sparseness constraint in multivariate curve resolution - Alternating least squares.

279. Sparseness vs estimating conditional probabilities: Some asymptotic results

280. Simulation-based evaluation of the linear-mixed model in the presence of an increasing proportion of singletons.

281. Central auditory neurons have composite receptive fields.

282. Parallel sparse and dense information coding streams in the electrosensory midbrain.

283. Adult hippocampal neurogenesis and pattern separation in DG: a role for feedback inhibition in modulating sparseness to govern population-based coding.

284. MRI noise estimation and denoising using non-local PCA.

285. THE RELATIONSHIP BETWEEN EFFICIENT CODING OF NATURAL SCENES IN THE HUMAN VISUAL SYSTEM AND STATISTICAL REGULARITIES IN ART

286. A unifying theory of synaptic long-term plasticity based on a sparse distribution of synaptic strength.

287. Poisson limits for a hard-core clustering model

288. On sparseness and Turing reducibility over the reals

289. Space-Efficient Recognition of Sparse Self-Reducible Languages

290. Space-Efficient Recognition of Sparse Self-Reducible Languages

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