Probably approximately correct learning - Wikipedia
In computational learning theory, probably approximately correct (PAC) learning is a framework for mathematical analysis of machine learning. It was proposed
Vintage Modern Couch with Attached Side Table
Cool retro modern couch with attached side table. Chromed steel frame with multi-colored fabric in a modern style. Attached table is walnut wood grain formica. Good condition with a few dings on the …
markets/awesome-ruby
? A collection of awesome Ruby libraries, tools, frameworks and software (⭐ 14048)
chl0323/MSIDA-OCR
A universal multi-lingual OCR framework that boosts recognition in complex scenes through feature synergy and end-to-end optimization. (⭐ 0)
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extrem…
Detecting baggage threats is one of the most difficult tasks, even for expert officers. Many researchers have developed computer-aided screening systems to recognize these threats from the baggage X-ray scans. However, all of these frameworks are lim...
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
Identifying potential threats concealed within the baggage is of prime concern for the security staff. Many researchers have developed frameworks that can detect baggage threats from X-ray scans. However, to the best of our knowledge, all of these fr...
The orthonormal dilation property for abstract Parseval wavelet frames
In this work we introduce a class of discrete groups containing subgroups of abstract translations and dilations, respectively. A variety of wavelet systems can appear as $π(\G)ψ$, where $π$ is a unitary representation of a wavelet group and $\G$...
APThreatHunter: An automated planning-based threat hunting framework
Cyber attacks threaten economic interests, critical infrastructure, and public health and safety. To counter this, entities adopt cyber threat hunting, a proactive approach that involves formulating hypotheses and searching for attack patterns within...
Cross-validation and Peeling Strategies for Survival Bump Hunting using Recursiv…
We introduce a framework to build a survival/risk bump hunting model with a censored time-to-event response. Our Survival Bump Hunting (SBH) method is based on a recursive peeling procedure that uses a specific survival peeling criterion derived from...
Sahlqvist Correspondence Theory for Sabotage Modal Logic
Sabotage modal logic (SML) is a kind of dynamic logics. It extends static modal logic with a dynamic modality which is interpreted as "after deleting an arrow in the frame, the formula is true". In the present paper, we are aiming at solving an open...
Second order time dependent tangent bundles and their applications
The aim of this paper is to geometrize time dependent Lagrangian mechanics in a way that the framework of second order tangent bundles plays an essential role. To this end, we first introduce the concepts of time dependent connections and time depend...
MvvmCross/MvvmCross
The .NET MVVM framework for cross-platform solutions, including Android, iOS, MacCatalyst, macOS, tvOS, WPF, WinUI (⭐ 3916)
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots t…
The profound impact of food on health necessitates advanced nutrition-oriented food recommendation services. Conventional methods often lack the crucial elements of personalization, explainability, and interactivity. While Large Language Models (LLMs...
GazeDirector: Fully Articulated Eye Gaze Redirection in Video
We present GazeDirector, a new approach for eye gaze redirection that uses model-fitting. Our method first tracks the eyes by fitting a multi-part eye region model to video frames using analysis-by-synthesis, thereby recovering eye region shape, text...
Controllable Continuous Gaze Redirection
In this work, we present interpGaze, a novel framework for controllable gaze redirection that achieves both precise redirection and continuous interpolation. Given two gaze images with different attributes, our goal is to redirect the eye gaze of one...
Smartbanner: Intelligent banner design framework that strikes a balance between…
Companies use banners extensively to promote their products, and the intelligent automatic synthesis of banners is a challenging event. Under the premise of inputting only a small amount of information such as product, text and size, it can synthesiz...
Brightify/Cuckoo
Boilerplate-free mocking framework for Swift! (⭐ 1740)
CDT: A Comprehensive Capability Framework for Large Language Models Across Cogni…
Recent advances in Large Language Models (LLMs) have significantly enhanced their capabilities, highlighting the need for comprehensive evaluation frameworks that extend beyond task-specific benchmarks. However, existing benchmarks often focus on iso...
NVIDIA-NeMo/NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech) (⭐ 16861)
Yan: Foundational Interactive Video Generation
We present Yan, a foundational framework for interactive video generation, covering the entire pipeline from simulation and generation to editing. Specifically, Yan comprises three core modules. AAA-level Simulation: We design a highly-compressed, lo...