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Book ChapterDOI
Jeroen Vendrig, Marcel Worring 
18 Jul 2002
7 Citations
Quantitative results show that WhoIsWho is successful in helping annotators identify movie characters.
The proposed schemes demonstrate state-of-the-art performance on movie character identification in various genres of movies.
In one word, this new matrix theory overcomes the dimensional barrier in certain sense.
Such results are permitted by the very high potential of the new matrix. Copyright © 2002 by ASME
The new model can learn much sparser matrix factorization.
Proceedings ArticleDOI
Viktor Larsson, Carl Olsson 
01 Jul 2017
14 Citations
In this paper we propose a new factorization model that further constrains the matrix entries.

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How does vocal empowerment through AI technology impact the independence and self-determination of visually impaired individuals?
5 answers
Vocal empowerment through AI technology significantly enhances the independence and self-determination of visually impaired individuals. By leveraging AI, Machine Learning, and IoT, smart devices like smart robot assistants and mobile applications enable obstacle detection, object recognition, and audio feedback, facilitating safe navigation and increased mobility. These technologies provide auditory cues, describe scenes, identify objects, colors, text, and faces, empowering visually impaired individuals to explore and understand their surroundings independently. The use of deep learning techniques, image processing, and distance sensors further improves accuracy and performance, offering a reliable alternative for visually impaired individuals to navigate and interact with the environment effectively. Overall, vocal empowerment through AI technology plays a crucial role in promoting autonomy and enhancing the quality of life for the visually impaired.
Is there glasses for the hearing impaired people?
5 answers
Yes, there are glasses designed specifically to assist hearing-impaired individuals. These glasses utilize advanced technologies like speech recognition, sound localization, and text-to-speech capabilities to enhance the auditory experience for the hearing impaired. For instance, smart glasses like VI-SPECS and HE-SPECS have been developed to aid individuals with visual and hearing impairments. Additionally, a smart glass named EyeHear has been created to address the sound localization issue faced by the hearing-impaired, providing real-time direction of speech sources and transcriptions through a modified speech recognition algorithm. These glasses aim to improve spatial awareness, communication in challenging listening environments, and overall quality of life for individuals with hearing disabilities. Furthermore, the integration of modern technologies in these glasses showcases a promising future for assistive devices for the hearing impaired.
What are the benefits of generative AI for vision tasks?
5 answers
Generative AI offers significant benefits for vision tasks by enabling the synthesis of new visual content. It can aid in the detection of eye diseases like age-related macular degeneration (AMD) by generating synthetic fundus images with AMD lesions. Additionally, generative neural models can enhance programming education by automatically creating visual programming tasks based on given specifications, improving logical and spatial reasoning skills. Moreover, in the broader context of generative AI, recent advancements in deep learning and neural networks have revolutionized the field, particularly in vision and language models, allowing for the creation of diverse data modalities like images and text. Overall, generative AI shows promise in various vision-related applications, from medical imaging to educational content generation.
What are convolution operations in image processing?
5 answers
Convolution operations in image processing involve applying a filter or kernel to an image to extract features or enhance certain characteristics. This process includes dividing the image into sub-images, performing convolution on these sub-images, and then combining the results to obtain the final convolution output. By convolving the image with a kernel, specific operations like smoothing, sharpening, noise reduction, and edge detection can be achieved. The convolution operation method typically entails multiplying elements of partial matrices from the image and the kernel, summing these products, and generating a convolution result. Utilizing convolutional neural networks in image processing allows for cutting the image into sub-images, independently convolving them, aggregating the results, and outputting the final processed image, enhancing system performance.
What Is the area of captability of Audiomoth?
5 answers
The AudioMoth device offers a wide range of capabilities in the field of wildlife monitoring and acoustic recording. It is a low-cost, small-sized, and energy-efficient acoustic detector that can record animal calls or human activity at high sample rates of up to 384 kHz. The device's open-source nature and programmable features make it versatile for various applications, including large-scale, long-term monitoring for biodiversity and natural resource exploitation. AudioMoth's performance has been evaluated through tests on frequency response patterns, battery life under different conditions, and its ability to withstand extreme outdoor environments. These features make AudioMoth a valuable tool for researchers and conservation managers looking to enhance their monitoring capabilities affordably and effectively.
What makes a good PROMPT?
4 answers
A good prompt for language models should be topically related to the task domain and calibrate the prior probability of label words. Effective prompts are found to significantly affect zero-shot performance and marginally affect few-shot performance. Additionally, prompts that are diverse and fluent have been shown to be more effective. It has also been observed that prompts generated using only unlabeled data can outperform strong baselines. Furthermore, using prompts with class labels can guide language models to generate more semantically-consistent perturbations, improving the effectiveness of adversarial attacks.
How does the inclusion of numbers in social media captions affect post engagement and reach?
5 answers
The inclusion of numbers in social media captions has been found to increase post engagement and reach. In a study on climate-related social media posts, providing precise numeric information about climate consequences led to increased engagement and greater trust from the audience. However, the use of numbers in persona interfaces had mixed effects on user perceptions and visual engagement. While numbers had a positive effect on usefulness for analysts, they had a negative effect on completeness for both marketers and analysts. Additionally, a number-based image captioning model was developed to describe an image with multiple sentences, allowing for different descriptions under different given numbers. This model achieved competitive results and demonstrated the efficiency of incorporating numbers in image captioning. Therefore, the use of numbers in social media captions can enhance engagement and reach, but its effects may vary depending on the context and target audience.
What is the difference between novelty and contribution of a research paper?
4 answers
The difference between novelty and contribution of a research paper lies in their definitions and implications. Novelty refers to something new, original, or unusual, while contribution refers to the value or impact that the research adds to the field. Novelty is often considered a prerequisite for contribution, as research must offer new insights or understanding to be considered valuable. However, novelty alone is not sufficient to evaluate the contribution of a research paper. Contributions are evaluated based on criteria such as specificity of focus, proposed outcomes, logic, dialectic, rhetoric, and social-institutional argumentation. Contributions can also be framed in relation to the wider field or disciplinary matrix. Therefore, while novelty is about being new or original, contribution is about the value and impact that the research brings to the field.
How does the availability of learning resources in libraries impact the academic achievement of students?
4 answers
The availability of learning resources in libraries has a positive impact on the academic achievement of students. Research has shown that the use of e-books, digital literacy, and the availability of book collections in libraries have a significant and positive effect on learning achievement. Additionally, the marketing of library resources and services increases awareness and motivates students to use them, leading to improved learning activities and positive learning outcomes. Access to library resources is fundamental in serving the discovery and scholarship needs of students, regardless of disability status, and it affects student grades and retention. School libraries and librarians play a critical role in shaping the future of education by providing equitable access to up-to-date and diverse resources, expert instruction on information literacy, and digital learning, which prepare students for college, career, and life.
How does the inclusion of numbers in Instagram captions affect the visibility and reach of posts?
4 answers
Including numbers in Instagram captions has been found to increase engagement and reach of posts. Studies have shown that providing precise numeric information about climate consequences led to more engagement and greater trust in climate-related social media posts. Additionally, a number-based image captioning model that describes an image with multiple sentences has been proposed, allowing for different captions to be generated for the same image under different numbers. This approach has been shown to be competitive with state-of-the-art models and can produce different descriptions under different given numbers. Therefore, the inclusion of numbers in Instagram captions can enhance visibility and reach by increasing engagement and allowing for more diverse and targeted content.
How many replications on treatments must be done?
4 answers
The number of replications required for experiments varies depending on the specific context. In the case of maize hybrid competition experiments, it was found that at least 11 replications were needed to ensure a minimum significant level of 95% for grain yield. In the context of ecosystem experiments, substantial and sustained manipulations using multiple replicates produced significant results in the majority of simulated experiments. However, due to limitations such as high costs and scarcity of experimental ecosystems, it may not always be feasible to have an adequate number of replicates. In the field of psychotherapy clinical trials, there is a lack of direct replication attempts for trials with large effects, raising questions about the replicability of treatment superiority conclusions. The number of replicates required for studies on sperm production varies among species and end points, with some requiring a larger number of replicates than typically used in investigations.