We propose a novel, lightweight supervised dictionary learning framework for text classification based on data compression and representation. This two-phase algorithm initially employs the Lempel-Ziv-Welch (LZW) algorithm to construct a dictionary f...
This paper presents InceptionHuman, a prompt-to-NeRF framework that allows easy control via a combination of prompts in different modalities (e.g., text, poses, edge, segmentation map, etc) as inputs to generate photorealistic 3D humans. While many w...
We study $R$-parity violation in the framework of GUTs, focusing on the case that $R$-parity is broken exclusively through $ΔB=1$, $ΔL=0$ effective interactions. We construct two such models, an $SU(5)$ and an $SU(5)\times U(1)_{X}$ model, in wh...
embed operations research problems within the framework of optimal control theory. Optimal control is an extension of the calculus of variations, and
Sentiment analysis is a widely studied NLP task where the goal is to determine opinions, emotions, and evaluations of users towards a product, an entity or a service that they are reviewing. One of the biggest challenges for sentiment analysis is tha...
Got this 2016 limited model because it was the only 4runner around me in my price range, and available in the time frame i needed to buy something. Only thing was I hated the body style. Decided to do...
Large language models (LLMs) have recently revolutionized language processing tasks but have also brought ethical and legal issues. LLMs have a tendency to memorize potentially private or copyrighted information present in the training data, which mi...
NIFTY, "Numerical Information Field Theory", is a software package designed to enable the development of signal inference algorithms that operate regardless of the underlying spatial grid and its resolution. Its object-oriented framework is written i...
This paper addresses the problem of exemplar-based texture synthesis. We introduce NIFTY, a hybrid framework that combines recent insights on diffusion models trained with convolutional neural networks, and classical patch-based texture optimization...
A modern, easy-to-expand fuzzy search framework (⭐ 386)
May 30, 2013 · I'm selling a pre-owned backpack. I used it on only two trips and is in very good condition. Offers great comfort and performance while keeping your back cool and your load light on …
This paper develops a flexibility management framework for space logistics mission planning under uncertainty through decision rules and multi-stage stochastic programming. It aims to add built-in flexibility to space architectures in the phase of ea...
BARDI is a specialized framework engineered to facilitate the development of reproducible data pre-processing pipelines within machine learning workflows. (⭐ 11)
Analysis of data from randomized controlled trials in vulnerable populations requires special attention when assessing treatment effect by a score measuring, e.g., disease stage or activity together with onset of prevalent terminal events. In reality...
OPAL (OPtimized Applicative Language) is a functional programming language first developed at Technische Universität Berlin. There is a later framework
A web framework for building highly usable healthcare applications. (⭐ 288)
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Light-weight web framework for Go (⭐ 26)
Body-worn cameras are now commonly used for logging daily life, sports, and law enforcement activities, creating a large volume of archived footage. This paper studies the problem of classifying frames of footage according to the activity of the came...
Large language models (LLMs) have emerged as a cutting-edge approach in sequential recommendation, leveraging historical interactions to model dynamic user preferences. Current methods mainly focus on learning processed recommendation data in the for...