#LSPPDay60
While trying Bag of Visuals, got to know about the SIFT which might not return the key points from the image, which are dropped and visualized after the feature extraction.
Red Circle = Keypoints.
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#LSPPDay57
Great session at Google I/O extended Kathmandu.
I got the opportunity to interact with different people and learned about Gen AI, prompt engineering, and, network security, other AI advancements, & many more.
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#LSPPDay55
Bag of visuals:
Got to know about how K means and Nearest neighbour is used to classify the group of objects where each cluster or group represents a local pattern .
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#LSPPDay53 Learned about the Bag of Visuals. Unlike the Bag of Words, which splits text into words, & allocates into an unordered list(i.e.Bag), the Bag of Visuals represents images by extracting unique visual features from patches.
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#LSPPDay51
Got to know about Bladder Cancer detection using machine learning which uses the data of CT scans & Cystoscopy which likely uses parameters like Wall thickness, Tumor size, & Regularity loss.
Special Thanks to Dr. Pradip Subedi.
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#LsppDay46 Solved another HackerRank problem using counting sort with O(N+M) complexity where N is the input array & M is count array, faster than comparison-based sorting when the input range matches the number of inputs.
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