gugagore

58 ms·

781.
by gugagore 8y ago
Can you elaborate specially on Waymo's approach of combining machine learning and geometry, or point to a resource?
782.
by gugagore 9y ago
I think I'll disagree mildly. In "slow" languages like MATLAB and Python/NumPy, often the most performant way to do computation is array primitives. So much so that the style becomes idiomatic over, say, for loops.
783.
by gugagore 9y ago
It is not unusual at all to multiply signals. That is how basically any modern radio transmitter and receiver works. It's also how you can convert between the frequency and time domain, which is used in basically any sort of perceptual
784.
by gugagore 9y ago
time domain multiplication is frequency domain convolution. Which is great if you want to shift the frequency band of some signal. Like if you have 2 songs that you want to play over radio in the same, shared airspace, you shift them to two
785.
by gugagore 9y ago
You know AM radio? That's Amplitude Modulation. Modulation here means "multiply your audio signal by a carrier signal".
786.
by gugagore 9y ago
It certainly is a good visualization, but just not for "resonance". It could be good for explaining e.g. * frequency decomposition * phase locked loops * dot products between functions (Hilbert space)
787.
by gugagore 9y ago
You are certainly correct in audio applications. "mix" usually means "add". However in many other signal processing applications, "mix" means "multiply". https://en.wikipedia.org/wiki&
788.
by gugagore 9y ago
another option, if your power and signals aren't too low frequency: https://en.wikipedia.org/wiki/Rotary_transformer
789.
by gugagore 9y ago
By visible I meant visible to active sensors like radar and lidar. This is the second part of my original response to you, and why I then said the pedestrian was unoccluded. Sorry that was unclear. Also sorry you're so frustrated.
790.
by gugagore 9y ago
just to respond to a specific part of your post, people can decide to adopt a child with a disability.
791.
by gugagore 9y ago
No, she must have been visible because she can't teleport and road are typically clear.
792.
by gugagore 9y ago
Here's what the video helps understand. The pedestrian wasn't hiding behind, say, a bush and leaped out. It seems like the pedestrian was unoccluded for the whole time they were on the street.
793.
by gugagore 9y ago
What do you mean by unavoidable? Do you think a human would have made the same mistake in most cases? Because then my question is, have you ever used a camera at night? It can't see as much as you (at video rates). What don't you
794.
by gugagore 9y ago
Is there any modern digital video that is "raw"? Without any lossy compression?
795.
by gugagore 9y ago
I disagree with you. To be clear, "sampling each up and down deflection" is exactly the right idea in the case that you have no other information besides the samples (and besides knowing the hypothesis of the sampling theorem is s
796.
by gugagore 9y ago
Why L2? So that the Fourier integral is required to converge. But now you know your signal is the sum of periodic signals ;)
797.
by gugagore 9y ago
I think it's a bit harsh to say not even close. I think it captures the idea pretty well. The reason it's not perfect is because of your example, where a signal is not baseband. The extra leap required to understand that is amplit
798.
by gugagore 9y ago
You might also rest your foot on the brake in anticipation. But neither attention nor anticipating controls is a concept that really exists in these autonomous system. They're "always ready". (yeah "attention" can e
799.
by gugagore 9y ago
There's problem classes and problem instances. What does NP-hardness look like for self-driving car tech? non-deterministic polynomial in: number of objects? number of lanes? time steps in the planning horizon? action/observation
800.
by gugagore 9y ago
Yeah, but octonions are not associative. Which is what the poster was saying. (By the way, that also means that there isn't a matrix representation for octonions, since matrix multiplicative is associative).
801.
by gugagore 9y ago
Recognizing the meaning of individual Latin words does not allow you in general to understand the meaning of a phrase! None of the languages you mentioned have explicit case markings, and mostly rely on word order and prepositions to signal
802.
by gugagore 9y ago
sorry, what do you mean?
803.
by gugagore 9y ago
Perfect! This is the covariant/contravariant/invariant distinction, right? "Read-only data types (sources) can be covariant; write-only data types (sinks) can be contravariant. Mutable data types which act as both sources and
804.
by gugagore 9y ago
What do you mean when you say a natural language isn't that hard? Surely it depends on which languages you know already.
805.
by gugagore 9y ago
I'm not the poster you're responding to, but your observation about the distinction between P and p is crucial. The version of Bayes' rule that is relevant for the Kalman filter is the third one here: https://en.wi
806.
by gugagore 9y ago
I think the crux of the complaint of is the imprecision in saying e.g. "P(z_k | x_k) - this is the probability that we measured z_k, given that the true object is at x_k" Technically, you can only give a useful answer about the pr
807.
by gugagore 9y ago
Programming computers is a significant part of my life. And I'd love to share that with my partner, so that they have some visibility into the thing I do almost every day.
808.
Matplotlib stylized like xkcd(matplotlib.org)
2 points by gugagore 9y ago|0 comments
809.
by gugagore 9y ago
Related: https://matplotlib.org/xkcd/examples/showcase/xkcd.html
810.
by gugagore 9y ago
That's how I meant it. Your eye, optics, and nerves too probably, make averaging happen. Noise gets averaged. Not sure what distinction you are making between inverse and reverse, but I'm curious.

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