Location History:
- Malibu, CA (US) (2019 - 2020)
- Canoga Park, CA (US) (2018 - 2022)
Company Filing History:
Years Active: 2018-2022
Title: Fredy Monterroza: Innovator in Image Classification Technologies
Introduction
Fredy Monterroza is a prominent inventor based in Canoga Park, California. He has made significant contributions to the field of image and video scene classification, holding a total of 7 patents. His innovative work focuses on enhancing the accuracy of automated classification systems.
Latest Patents
One of Monterroza's latest patents is titled "System and method for the fusion of bottom-up whole-image features and top-down entity classification for accurate image/video scene classification." This patent describes a system that utilizes a specialized convolutional-neural network (CNN) technique to fuse bottom-up whole-image features with top-down entity classification. The result is a system that provides accurate classifications of scenes depicted in images or videos.
Another notable patent is "Automated classification of rock types and analyst-centric visualizations—front end." This invention outlines a method for the automated classification of rock types, which includes partitioning an image into sections, extracting sub-images, and classifying them into corresponding classes. The method also provides a way to display the classification results visually, enhancing the understanding of the data.
Career Highlights
Fredy Monterroza is currently employed at Hrl Laboratories, LLC, where he continues to develop innovative technologies in image classification. His work has been instrumental in advancing the capabilities of automated systems in various applications.
Collaborations
Monterroza collaborates with talented individuals in his field, including Deepak Khosla and Yang Chen. Their combined expertise contributes to the success of the projects they undertake.
Conclusion
Fredy Monterroza is a key figure in the realm of image classification technologies, with a strong portfolio of patents that reflect his innovative spirit. His contributions are paving the way for more accurate and efficient automated classification systems.