37 citations · 37 across the 6 of their papers we have counts for
6 papers
Hierarchical Shift Mixing -- Beyond Dense Attention in Transformers
Robert Forchheimer
Since the introduction of the Transformer architecture for large language models, the softmax-based attention layer has faced increasing scrutinity due to its quadratic-time comput…
A biologically interfaced evolvable organic pattern classifier
Jennifer Gerasimov, Deyu Tu, Vivek Hitaishi +9
Future brain-computer interfaces will require local and highly individualized signal processing of fully integrated electronic circuits within the nervous system and other living t…
Local Approximations, Real Interpolation and Machine Learning
Eric Setterqvist, Natan Kruglyak, Robert Forchheimer
We suggest a novel classification algorithm that is based on local approximations and explain its connections with Artificial Neural Networks (ANNs) and Nearest Neighbour classifie…
An Improved Nearest Neighbour Classifier
Eric Setterqvist, Natan Kruglyak, Robert Forchheimer
A windowed version of the Nearest Neighbour (WNN) classifier for images is described. While its construction is inspired by the architecture of Artificial Neural Networks, the unde…
Fast Localization of Facial Landmark Points
Nenad Markuš, Miroslav Frljak, Igor S. Pandžić +2
Localization of salient facial landmark points, such as eye corners or the tip of the nose, is still considered a challenging computer vision problem despite recent efforts. This i…
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
Nenad Markuš, Miroslav Frljak, Igor S. Pandžić +2
We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors. The trees use pixel intensity comparisons in…