The following pages link to T. Poggio (Q236096):
Displaying 49 items.
- Unsupervised learning of invariant representations (Q290560) (← links)
- (Q751635) (redirect page) (← links)
- Networks and the best approximation property (Q751636) (← links)
- A regularized solution to edge detection (Q1104116) (← links)
- On optimal nonlinear associative recall (Q1223269) (← links)
- A Volterra representation for some neuron models (Q1253623) (← links)
- Full-body person recognition system. (Q1400486) (← links)
- Hierarchical classification and feature reduction for fast face detection with support vector machines. (Q1400489) (← links)
- Introduction: Learning and vision at CBCL (Q1859605) (← links)
- Statistical learning theory: A primer (Q1859606) (← links)
- A trainable system for object detection (Q1859608) (← links)
- Visual speech synthesis by morphing visemes (Q1859613) (← links)
- Morphable models for the analysis and synthesis of complex motion patterns (Q1859614) (← links)
- Regularization networks and support vector machines (Q1968640) (← links)
- Neural-guided, bidirectional program search for abstraction and reasoning (Q2086668) (← links)
- An analysis of training and generalization errors in shallow and deep networks (Q2185668) (← links)
- Function approximation by deep networks (Q2191837) (← links)
- Mathematics of the neural response (Q2269906) (← links)
- Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization (Q2498399) (← links)
- Deep vs. shallow networks: an approximation theory perspective (Q2835988) (← links)
- Parallel Integration of Vision Modules (Q3101310) (← links)
- Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks (Q3101316) (← links)
- Learning of visual modules from examples: A framework for understanding adaptive visual performance (Q3136043) (← links)
- A Canonical Neural Circuit for Cortical Nonlinear Operations (Q3503721) (← links)
- Scaling Theorems for Zero Crossings (Q3695165) (← links)
- III-Posed problems early vision: from computational theory to analogue networks (Q3713544) (← links)
- Ill-posed problems in early vision: from computational theory to analogue networks (Q3713545) (← links)
- (Q4013873) (← links)
- The Volterra Representation and the Wiener Expansion: Validity and Pitfalls (Q4149308) (← links)
- Stochastic Identification Methods for Nonlinear Systems: An Extension of the Wiener Theory (Q4163078) (← links)
- (Q4182307) (← links)
- (Q4355851) (← links)
- (Q4423569) (← links)
- (Q4423593) (← links)
- (Q4423610) (← links)
- (Q4423618) (← links)
- An Analytical Method for Multiclass Molecular Cancer Classification (Q4442844) (← links)
- On invariance and selectivity in representation learning (Q4603721) (← links)
- Convolution and correlation algebras (Q4766852) (← links)
- Biophysiologically Plausible Implementations of the Maximum Operation (Q4815038) (← links)
- (Q4826695) (← links)
- Theoretical issues in deep networks (Q5073211) (← links)
- On Learnability, Complexity and Stability (Q5264089) (← links)
- (Q5386440) (← links)
- (Q5701389) (← links)
- STABILITY RESULTS IN LEARNING THEORY (Q5711101) (← links)
- For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability (Q5873932) (← links)
- Regularization and statistical learning theory for data analysis. (Q5958474) (← links)
- Compositional sparsity of learnable functions (Q6554713) (← links)
