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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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0111 · Feb 201819922001200920182026
2 results for “CAOL”
Convolutional Analysis Operator Learning: Dependence on Training Datacs.LG

CAOL learns filters from large datasets, and this paper analyzes its performance.

problem Understanding how dataset size impacts CAOL filter updates.
method Analyzes the impact of dataset size on CAOL filter updates using deterministic and probabilistic bounds.
result Empirical evidence suggests that using more training data can improve CAOL performance.
CAOLfilter learningdataset sizeconvolutional operatorsautoencoders
2019-02-21abs ↗pdf ↗
Convolutional Analysis Operator Learning: Acceleration and Convergenceeess.IV

Convolutional operator learning is gaining attention in many signal processing and computer vision applications. Learning kernels has mostly relied on so-called patch-domain approaches that extract and store many overlapping patches across training signals. Due to memory demands, patch-domain methods have limitations w…

2018-02-15abs ↗pdf ↗