Канал: Dror Baron

How long to reach financial independence?

How long to reach financial independence?

Group testing with side information

Group testing with side information

Computational complexity (ECE 512 Module 11)

Computational complexity (ECE 512 Module 11)

Io Parrot Eats a Sweet Potato

Io Parrot Eats a Sweet Potato

July 1, 2023

July 1, 2023

Io Parrot eats a cracker and whistles #parrot #whistle #greyparrot

Io Parrot eats a cracker and whistles #parrot #whistle #greyparrot

Io Parrot chewing on almond shell while listening to Beethoven #greyparrot #parrot #bird

Io Parrot chewing on almond shell while listening to Beethoven #greyparrot #parrot #bird

Io parrot on the table #parrot #greyparrot #table

Io parrot on the table #parrot #greyparrot #table

Io Parrot plays with a poster tube #parrot #greyparrot

Io Parrot plays with a poster tube #parrot #greyparrot

Io Parrot has carrot juice #parrot #bird

Io Parrot has carrot juice #parrot #bird

Io Parrot sitting on her stroller

Io Parrot sitting on her stroller

Io Parrot plays with cardboard

Io Parrot plays with cardboard

Happy bird eats pear

Happy bird eats pear

Io Parrot happily eating

Io Parrot happily eating

Dimensionality reduction (ECE 592 Module 51)

Dimensionality reduction (ECE 592 Module 51)

Approximate message passing (ECE 592 Module 50)

Approximate message passing (ECE 592 Module 50)

Precise performance limits in compressed sensing (ECE 592 Module 49)

Precise performance limits in compressed sensing (ECE 592 Module 49)

Information theoretic performance limits (ECE 592 Module 48)

Information theoretic performance limits (ECE 592 Module 48)

Optimal sparse recovery (ECE 592 Module 47)

Optimal sparse recovery (ECE 592 Module 47)

Sparse recovery (ECE 592 Module 46)

Sparse recovery (ECE 592 Module 46)

Compressive signal acquisition (ECE 592 Module 45)

Compressive signal acquisition (ECE 592 Module 45)

Compressed sensing (ECE 592 Module 44)

Compressed sensing (ECE 592 Module 44)

Multi resolution approximation (ECE 592 Module 43)

Multi resolution approximation (ECE 592 Module 43)

Wavelets (ECE 592 Module 42)

Wavelets (ECE 592 Module 42)

Frames (ECE 592 Module 41)

Frames (ECE 592 Module 41)

Bases (ECE 592 Module 40)

Bases (ECE 592 Module 40)

Sparsity (ECE 592 Module 39)

Sparsity (ECE 592 Module 39)

Support vector machines (ECE 592 Module 38)

Support vector machines (ECE 592 Module 38)

Kernel methods (ECE 592 Module 37)

Kernel methods (ECE 592 Module 37)

Basis expansions (ECE 592 Module 36)

Basis expansions (ECE 592 Module 36)

Logistic regression (ECE 592 Module 35)

Logistic regression (ECE 592 Module 35)

LDA and QDA - linear and quadratic discriminant analysis (ECE 592 Module 34)

LDA and QDA - linear and quadratic discriminant analysis (ECE 592 Module 34)

Linear classification (ECE 592 Module 33)

Linear classification (ECE 592 Module 33)

Decision trees (ECE 592 Module 32)

Decision trees (ECE 592 Module 32)

Shrinkage (ECE 592 Module 31)

Shrinkage (ECE 592 Module 31)

Subset selection (ECE 592 Module 30)

Subset selection (ECE 592 Module 30)

Clustering (ECE 592 Module 28)

Clustering (ECE 592 Module 28)

Decision theory (ECE 592 Module 27)

Decision theory (ECE 592 Module 27)

Two classifiers (ECE 592 Module 26)

Two classifiers (ECE 592 Module 26)

Linear regression (ECE 592 Module 29)

Linear regression (ECE 592 Module 29)

Convex optimization (ECE 592 Module 23)

Convex optimization (ECE 592 Module 23)

Linear programming (ECE 592 Module 22)

Linear programming (ECE 592 Module 22)

Non-convex optimization (ECE 592 Module 25)

Non-convex optimization (ECE 592 Module 25)

Integer programming (ECE 592 Module 24)

Integer programming (ECE 592 Module 24)

Dynamic programming (ECE 592 Module 21)

Dynamic programming (ECE 592 Module 21)

Motivation for optimization (ECE 592 Module 20)

Motivation for optimization (ECE 592 Module 20)

Bird preening in a box

Bird preening in a box

Bird playing with box

Bird playing with box

Time to Financial Independence

Time to Financial Independence

Dancing bird

Dancing bird

Arithmetic and geometric series

Arithmetic and geometric series

Io Parrot plays with a piece of cork

Io Parrot plays with a piece of cork

Profiling (ECE 592 Module 19)

Profiling (ECE 592 Module 19)

Trees (ECE 592 Module 18)

Trees (ECE 592 Module 18)

Graphs (ECE 592 Module 17)

Graphs (ECE 592 Module 17)

Stacks, queues, and linked lists (ECE 592 Module 16)

Stacks, queues, and linked lists (ECE 592 Module 16)

Io Parrot whistles

Io Parrot whistles

Io Parrot becoming an outdoor birdie

Io Parrot becoming an outdoor birdie

Happy bird having an almond

Happy bird having an almond

Io Parrot eating a potato

Io Parrot eating a potato

Parallel processing (ECE 592 Module 15)

Parallel processing (ECE 592 Module 15)

Computational architectures (ECE 592 Module 14)

Computational architectures (ECE 592 Module 14)

Divide and conquer (ECE 592 Module 13)

Divide and conquer (ECE 592 Module 13)

Algorithm selection (ECE 592 Module 12)

Algorithm selection (ECE 592 Module 12)

Computational complexity (ECE 592 Module 11)

Computational complexity (ECE 592 Module 11)

Decoding perspective on model complexity (ECE592 Module 7C)

Decoding perspective on model complexity (ECE592 Module 7C)

Information penalty for learning (ECE592 Module 7B)

Information penalty for learning (ECE592 Module 7B)

Model complexity (ECE 592 Module 7A)

Model complexity (ECE 592 Module 7A)

Orders of growth (ECE 592 Module 10)

Orders of growth (ECE 592 Module 10)

Resource consumption of algorithms (ECE 592 Module 9)

Resource consumption of algorithms (ECE 592 Module 9)

Kolmogorov complexity (ECE 592 Module 8)

Kolmogorov complexity (ECE 592 Module 8)

ECE 592 Module 7

ECE 592 Module 7

Minimum description length (ECE 592 Module 6)

Minimum description length (ECE 592 Module 6)

Machine learning terminology (ECE 592 Module 5)

Machine learning terminology (ECE 592 Module 5)

Random variables (ECE 592 Module 4)

Random variables (ECE 592 Module 4)

Probability spaces and Bayes' rule (ECE 592 Module 3)

Probability spaces and Bayes' rule (ECE 592 Module 3)

Curve fitting (ECE 592 Module 2)

Curve fitting (ECE 592 Module 2)

Motivation for data science (ECE 592 Module 1)

Motivation for data science (ECE 592 Module 1)

Compressive Imaging via Approximate Message Passing

Compressive Imaging via Approximate Message Passing

Universal denoising and approximate message passing

Universal denoising and approximate message passing

Size- and level-adaptive Markov chain Monte Carlo

Size- and level-adaptive Markov chain Monte Carlo

Parallel Algorithms for Universal Compression

Parallel Algorithms for Universal Compression

Signal reconstruction with additive error metrics

Signal reconstruction with additive error metrics

Visualization of signal reconstruction with additive error metrics

Visualization of signal reconstruction with additive error metrics