Posts

Stippling, a timeless artistic technique, traces its origins back through the annals of art history, where it emerged as a method of creating texture, depth, and form through the precise placement of dots.

Hidden Markov Models (HMMs) are statistical models used for sequential data analysis, where underlying states are inferred from observed data. Employed in speech recognition, bioinformatics, and more.

Voronoi diagrams, also known as Dirichlet tessellation or Thiessen polygons, are everywhere in nature. You’ve likely encountered them thousands of times, but perhaps didn’t know what they were called.

Less is More: Parameter-Free Text Classification with Gzip offers a novel text classification method using gzip compression, eliminating manual parameter tuning.

The Difference of Gaussians (DoG) algorithm is a technique in image processing used for edge detection and feature enhancement.

Infini-Attention introduces a novel approach to scaling Transformer models for infinitely long inputs while managing memory and computation.

Kuwahara was the world’s first edge preserving de-noising image processing algorithm.

Softmax stands as a pivotal component in neural network architectures, offering a means to convert raw scores into interpretable probabilities.

In the realm of digital image processing, dithering algorithms play a crucial role in reducing the color palette of an image while maintaining visual quality.